Upload 2 files
Browse files- ali_token.ipynb +1584 -0
- tiktoken_test.ipynb +0 -0
ali_token.ipynb
ADDED
@@ -0,0 +1,1584 @@
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|
1 |
+
{
|
2 |
+
"cells": [
|
3 |
+
{
|
4 |
+
"cell_type": "code",
|
5 |
+
"execution_count": 76,
|
6 |
+
"id": "d5c3dff6-bd21-4e6a-8f8b-a83dc6895e08",
|
7 |
+
"metadata": {},
|
8 |
+
"outputs": [],
|
9 |
+
"source": [
|
10 |
+
"from transformers import AutoTokenizer\n",
|
11 |
+
"tokenizer = AutoTokenizer.from_pretrained('Qwen/Qwen-7B', trust_remote_code=True)"
|
12 |
+
]
|
13 |
+
},
|
14 |
+
{
|
15 |
+
"cell_type": "code",
|
16 |
+
"execution_count": 36,
|
17 |
+
"id": "549ca852-199a-4d55-9e29-17837dd1f975",
|
18 |
+
"metadata": {},
|
19 |
+
"outputs": [
|
20 |
+
{
|
21 |
+
"data": {
|
22 |
+
"text/plain": [
|
23 |
+
"QWenTokenizer(name_or_path='Qwen/Qwen-7B', vocab_size=151851, model_max_length=8192, is_fast=False, padding_side='right', truncation_side='right', special_tokens={}, clean_up_tokenization_spaces=True)"
|
24 |
+
]
|
25 |
+
},
|
26 |
+
"execution_count": 36,
|
27 |
+
"metadata": {},
|
28 |
+
"output_type": "execute_result"
|
29 |
+
}
|
30 |
+
],
|
31 |
+
"source": [
|
32 |
+
"tokenizer"
|
33 |
+
]
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"cell_type": "code",
|
37 |
+
"execution_count": 37,
|
38 |
+
"id": "fe6c9cf7-fbc6-4073-81e9-5dfaefe88fdf",
|
39 |
+
"metadata": {},
|
40 |
+
"outputs": [
|
41 |
+
{
|
42 |
+
"data": {
|
43 |
+
"text/plain": [
|
44 |
+
"151851"
|
45 |
+
]
|
46 |
+
},
|
47 |
+
"execution_count": 37,
|
48 |
+
"metadata": {},
|
49 |
+
"output_type": "execute_result"
|
50 |
+
}
|
51 |
+
],
|
52 |
+
"source": [
|
53 |
+
"len(tokenizer)"
|
54 |
+
]
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"cell_type": "code",
|
58 |
+
"execution_count": 38,
|
59 |
+
"id": "4b583802-0e69-40d2-a32e-745ea50ede63",
|
60 |
+
"metadata": {},
|
61 |
+
"outputs": [
|
62 |
+
{
|
63 |
+
"name": "stdout",
|
64 |
+
"output_type": "stream",
|
65 |
+
"text": [
|
66 |
+
"[14990, 5562]\n",
|
67 |
+
"text : hello dog\n"
|
68 |
+
]
|
69 |
+
}
|
70 |
+
],
|
71 |
+
"source": [
|
72 |
+
"#tokenizer('hello dog')['input_ids']\n",
|
73 |
+
"#tokenizer('hello dog').tokens()\n",
|
74 |
+
"tks = tokenizer.encode('hello dog')\n",
|
75 |
+
"print(tks)\n",
|
76 |
+
"text = tokenizer.decode(tks)\n",
|
77 |
+
"print(\"text :\", text)"
|
78 |
+
]
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"cell_type": "code",
|
82 |
+
"execution_count": 39,
|
83 |
+
"id": "9b360ba8-692d-4e3c-b9c9-fae3969c3617",
|
84 |
+
"metadata": {},
|
85 |
+
"outputs": [
|
86 |
+
{
|
87 |
+
"data": {
|
88 |
+
"text/plain": [
|
89 |
+
"' �'"
|
90 |
+
]
|
91 |
+
},
|
92 |
+
"execution_count": 39,
|
93 |
+
"metadata": {},
|
94 |
+
"output_type": "execute_result"
|
95 |
+
}
|
96 |
+
],
|
97 |
+
"source": [
|
98 |
+
"tokenizer.decode([51461])"
|
99 |
+
]
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"cell_type": "code",
|
103 |
+
"execution_count": 40,
|
104 |
+
"id": "85b41d25-acbd-4818-a8e9-5020a3009b1d",
|
105 |
+
"metadata": {},
|
106 |
+
"outputs": [
|
107 |
+
{
|
108 |
+
"data": {
|
109 |
+
"text/plain": [
|
110 |
+
"' 根'"
|
111 |
+
]
|
112 |
+
},
|
113 |
+
"execution_count": 40,
|
114 |
+
"metadata": {},
|
115 |
+
"output_type": "execute_result"
|
116 |
+
}
|
117 |
+
],
|
118 |
+
"source": [
|
119 |
+
"tokenizer.decode([51461, 117])"
|
120 |
+
]
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"cell_type": "code",
|
124 |
+
"execution_count": 41,
|
125 |
+
"id": "abb10266-3da5-4586-ab6e-8812dc83ce3d",
|
126 |
+
"metadata": {},
|
127 |
+
"outputs": [
|
128 |
+
{
|
129 |
+
"data": {
|
130 |
+
"text/plain": [
|
131 |
+
"{b'!': 0,\n",
|
132 |
+
" b'\"': 1,\n",
|
133 |
+
" b'#': 2,\n",
|
134 |
+
" b'$': 3,\n",
|
135 |
+
" b'%': 4,\n",
|
136 |
+
" b'&': 5,\n",
|
137 |
+
" b\"'\": 6,\n",
|
138 |
+
" b'(': 7,\n",
|
139 |
+
" b')': 8,\n",
|
140 |
+
" b'*': 9,\n",
|
141 |
+
" b'+': 10,\n",
|
142 |
+
" b',': 11,\n",
|
143 |
+
" b'-': 12,\n",
|
144 |
+
" b'.': 13,\n",
|
145 |
+
" b'/': 14,\n",
|
146 |
+
" b'0': 15,\n",
|
147 |
+
" b'1': 16,\n",
|
148 |
+
" b'2': 17,\n",
|
149 |
+
" b'3': 18,\n",
|
150 |
+
" b'4': 19,\n",
|
151 |
+
" b'5': 20,\n",
|
152 |
+
" b'6': 21,\n",
|
153 |
+
" b'7': 22,\n",
|
154 |
+
" b'8': 23,\n",
|
155 |
+
" b'9': 24,\n",
|
156 |
+
" b':': 25,\n",
|
157 |
+
" b';': 26,\n",
|
158 |
+
" b'<': 27,\n",
|
159 |
+
" b'=': 28,\n",
|
160 |
+
" b'>': 29,\n",
|
161 |
+
" b'?': 30,\n",
|
162 |
+
" b'@': 31,\n",
|
163 |
+
" b'A': 32,\n",
|
164 |
+
" b'B': 33,\n",
|
165 |
+
" b'C': 34,\n",
|
166 |
+
" b'D': 35,\n",
|
167 |
+
" b'E': 36,\n",
|
168 |
+
" b'F': 37,\n",
|
169 |
+
" b'G': 38,\n",
|
170 |
+
" b'H': 39,\n",
|
171 |
+
" b'I': 40,\n",
|
172 |
+
" b'J': 41,\n",
|
173 |
+
" b'K': 42,\n",
|
174 |
+
" b'L': 43,\n",
|
175 |
+
" b'M': 44,\n",
|
176 |
+
" b'N': 45,\n",
|
177 |
+
" b'O': 46,\n",
|
178 |
+
" b'P': 47,\n",
|
179 |
+
" b'Q': 48,\n",
|
180 |
+
" b'R': 49,\n",
|
181 |
+
" b'S': 50,\n",
|
182 |
+
" b'T': 51,\n",
|
183 |
+
" b'U': 52,\n",
|
184 |
+
" b'V': 53,\n",
|
185 |
+
" b'W': 54,\n",
|
186 |
+
" b'X': 55,\n",
|
187 |
+
" b'Y': 56,\n",
|
188 |
+
" b'Z': 57,\n",
|
189 |
+
" b'[': 58,\n",
|
190 |
+
" b'\\\\': 59,\n",
|
191 |
+
" b']': 60,\n",
|
192 |
+
" b'^': 61,\n",
|
193 |
+
" b'_': 62,\n",
|
194 |
+
" b'`': 63,\n",
|
195 |
+
" b'a': 64,\n",
|
196 |
+
" b'b': 65,\n",
|
197 |
+
" b'c': 66,\n",
|
198 |
+
" b'd': 67,\n",
|
199 |
+
" b'e': 68,\n",
|
200 |
+
" b'f': 69,\n",
|
201 |
+
" b'g': 70,\n",
|
202 |
+
" b'h': 71,\n",
|
203 |
+
" b'i': 72,\n",
|
204 |
+
" b'j': 73,\n",
|
205 |
+
" b'k': 74,\n",
|
206 |
+
" b'l': 75,\n",
|
207 |
+
" b'm': 76,\n",
|
208 |
+
" b'n': 77,\n",
|
209 |
+
" b'o': 78,\n",
|
210 |
+
" b'p': 79,\n",
|
211 |
+
" b'q': 80,\n",
|
212 |
+
" b'r': 81,\n",
|
213 |
+
" b's': 82,\n",
|
214 |
+
" b't': 83,\n",
|
215 |
+
" b'u': 84,\n",
|
216 |
+
" b'v': 85,\n",
|
217 |
+
" b'w': 86,\n",
|
218 |
+
" b'x': 87,\n",
|
219 |
+
" b'y': 88,\n",
|
220 |
+
" b'z': 89,\n",
|
221 |
+
" b'{': 90,\n",
|
222 |
+
" b'|': 91,\n",
|
223 |
+
" b'}': 92,\n",
|
224 |
+
" b'~': 93,\n",
|
225 |
+
" b'\\xa1': 94,\n",
|
226 |
+
" b'\\xa2': 95,\n",
|
227 |
+
" b'\\xa3': 96,\n",
|
228 |
+
" b'\\xa4': 97,\n",
|
229 |
+
" b'\\xa5': 98,\n",
|
230 |
+
" b'\\xa6': 99,\n",
|
231 |
+
" b'\\xa7': 100,\n",
|
232 |
+
" b'\\xa8': 101,\n",
|
233 |
+
" b'\\xa9': 102,\n",
|
234 |
+
" b'\\xaa': 103,\n",
|
235 |
+
" b'\\xab': 104,\n",
|
236 |
+
" b'\\xac': 105,\n",
|
237 |
+
" b'\\xae': 106,\n",
|
238 |
+
" b'\\xaf': 107,\n",
|
239 |
+
" b'\\xb0': 108,\n",
|
240 |
+
" b'\\xb1': 109,\n",
|
241 |
+
" b'\\xb2': 110,\n",
|
242 |
+
" b'\\xb3': 111,\n",
|
243 |
+
" b'\\xb4': 112,\n",
|
244 |
+
" b'\\xb5': 113,\n",
|
245 |
+
" b'\\xb6': 114,\n",
|
246 |
+
" b'\\xb7': 115,\n",
|
247 |
+
" b'\\xb8': 116,\n",
|
248 |
+
" b'\\xb9': 117,\n",
|
249 |
+
" b'\\xba': 118,\n",
|
250 |
+
" b'\\xbb': 119,\n",
|
251 |
+
" b'\\xbc': 120,\n",
|
252 |
+
" b'\\xbd': 121,\n",
|
253 |
+
" b'\\xbe': 122,\n",
|
254 |
+
" b'\\xbf': 123,\n",
|
255 |
+
" b'\\xc0': 124,\n",
|
256 |
+
" b'\\xc1': 125,\n",
|
257 |
+
" b'\\xc2': 126,\n",
|
258 |
+
" b'\\xc3': 127,\n",
|
259 |
+
" b'\\xc4': 128,\n",
|
260 |
+
" b'\\xc5': 129,\n",
|
261 |
+
" b'\\xc6': 130,\n",
|
262 |
+
" b'\\xc7': 131,\n",
|
263 |
+
" b'\\xc8': 132,\n",
|
264 |
+
" b'\\xc9': 133,\n",
|
265 |
+
" b'\\xca': 134,\n",
|
266 |
+
" b'\\xcb': 135,\n",
|
267 |
+
" b'\\xcc': 136,\n",
|
268 |
+
" b'\\xcd': 137,\n",
|
269 |
+
" b'\\xce': 138,\n",
|
270 |
+
" b'\\xcf': 139,\n",
|
271 |
+
" b'\\xd0': 140,\n",
|
272 |
+
" b'\\xd1': 141,\n",
|
273 |
+
" b'\\xd2': 142,\n",
|
274 |
+
" b'\\xd3': 143,\n",
|
275 |
+
" b'\\xd4': 144,\n",
|
276 |
+
" b'\\xd5': 145,\n",
|
277 |
+
" b'\\xd6': 146,\n",
|
278 |
+
" b'\\xd7': 147,\n",
|
279 |
+
" b'\\xd8': 148,\n",
|
280 |
+
" b'\\xd9': 149,\n",
|
281 |
+
" b'\\xda': 150,\n",
|
282 |
+
" b'\\xdb': 151,\n",
|
283 |
+
" b'\\xdc': 152,\n",
|
284 |
+
" b'\\xdd': 153,\n",
|
285 |
+
" b'\\xde': 154,\n",
|
286 |
+
" b'\\xdf': 155,\n",
|
287 |
+
" b'\\xe0': 156,\n",
|
288 |
+
" b'\\xe1': 157,\n",
|
289 |
+
" b'\\xe2': 158,\n",
|
290 |
+
" b'\\xe3': 159,\n",
|
291 |
+
" b'\\xe4': 160,\n",
|
292 |
+
" b'\\xe5': 161,\n",
|
293 |
+
" b'\\xe6': 162,\n",
|
294 |
+
" b'\\xe7': 163,\n",
|
295 |
+
" b'\\xe8': 164,\n",
|
296 |
+
" b'\\xe9': 165,\n",
|
297 |
+
" b'\\xea': 166,\n",
|
298 |
+
" b'\\xeb': 167,\n",
|
299 |
+
" b'\\xec': 168,\n",
|
300 |
+
" b'\\xed': 169,\n",
|
301 |
+
" b'\\xee': 170,\n",
|
302 |
+
" b'\\xef': 171,\n",
|
303 |
+
" b'\\xf0': 172,\n",
|
304 |
+
" b'\\xf1': 173,\n",
|
305 |
+
" b'\\xf2': 174,\n",
|
306 |
+
" b'\\xf3': 175,\n",
|
307 |
+
" b'\\xf4': 176,\n",
|
308 |
+
" b'\\xf5': 177,\n",
|
309 |
+
" b'\\xf6': 178,\n",
|
310 |
+
" b'\\xf7': 179,\n",
|
311 |
+
" b'\\xf8': 180,\n",
|
312 |
+
" b'\\xf9': 181,\n",
|
313 |
+
" b'\\xfa': 182,\n",
|
314 |
+
" b'\\xfb': 183,\n",
|
315 |
+
" b'\\xfc': 184,\n",
|
316 |
+
" b'\\xfd': 185,\n",
|
317 |
+
" b'\\xfe': 186,\n",
|
318 |
+
" b'\\xff': 187,\n",
|
319 |
+
" b'\\x00': 188,\n",
|
320 |
+
" b'\\x01': 189,\n",
|
321 |
+
" b'\\x02': 190,\n",
|
322 |
+
" b'\\x03': 191,\n",
|
323 |
+
" b'\\x04': 192,\n",
|
324 |
+
" b'\\x05': 193,\n",
|
325 |
+
" b'\\x06': 194,\n",
|
326 |
+
" b'\\x07': 195,\n",
|
327 |
+
" b'\\x08': 196,\n",
|
328 |
+
" b'\\t': 197,\n",
|
329 |
+
" b'\\n': 198,\n",
|
330 |
+
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|
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1074 |
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" b' type': 943,\n",
|
1075 |
+
" b\"'t\": 944,\n",
|
1076 |
+
" b'ault': 945,\n",
|
1077 |
+
" b' inter': 946,\n",
|
1078 |
+
" b'var': 947,\n",
|
1079 |
+
" b'.b': 948,\n",
|
1080 |
+
" b' part': 949,\n",
|
1081 |
+
" b'.d': 950,\n",
|
1082 |
+
" b'urrent': 951,\n",
|
1083 |
+
" b'IT': 952,\n",
|
1084 |
+
" b'EN': 953,\n",
|
1085 |
+
" b'enc': 954,\n",
|
1086 |
+
" b'(f': 955,\n",
|
1087 |
+
" b'ra': 956,\n",
|
1088 |
+
" b'value': 957,\n",
|
1089 |
+
" b'cho': 958,\n",
|
1090 |
+
" b'utton': 959,\n",
|
1091 |
+
" b'ose': 960,\n",
|
1092 |
+
" b' !=': 961,\n",
|
1093 |
+
" b'ater': 962,\n",
|
1094 |
+
" b'\\xc3\\xa9': 963,\n",
|
1095 |
+
" b'reate': 964,\n",
|
1096 |
+
" b'oll': 965,\n",
|
1097 |
+
" b'pos': 966,\n",
|
1098 |
+
" b'yle': 967,\n",
|
1099 |
+
" b'ng': 968,\n",
|
1100 |
+
" b'AL': 969,\n",
|
1101 |
+
" b'using': 970,\n",
|
1102 |
+
" b'ames': 971,\n",
|
1103 |
+
" b' {\\r\\n': 972,\n",
|
1104 |
+
" b'ates': 973,\n",
|
1105 |
+
" b'ely': 974,\n",
|
1106 |
+
" b' work': 975,\n",
|
1107 |
+
" b' em': 976,\n",
|
1108 |
+
" b'inal': 977,\n",
|
1109 |
+
" b' sp': 978,\n",
|
1110 |
+
" b' when': 979,\n",
|
1111 |
+
" b'.set': 980,\n",
|
1112 |
+
" b' ': 981,\n",
|
1113 |
+
" b'):\\n': 982,\n",
|
1114 |
+
" b'to': 983,\n",
|
1115 |
+
" b'quire': 984,\n",
|
1116 |
+
" b'indow': 985,\n",
|
1117 |
+
" b'lement': 986,\n",
|
1118 |
+
" b'pect': 987,\n",
|
1119 |
+
" b'ash': 988,\n",
|
1120 |
+
" b'[i': 989,\n",
|
1121 |
+
" b' use': 990,\n",
|
1122 |
+
" b'.F': 991,\n",
|
1123 |
+
" b'pec': 992,\n",
|
1124 |
+
" b' ad': 993,\n",
|
1125 |
+
" b'ove': 994,\n",
|
1126 |
+
" b'ception': 995,\n",
|
1127 |
+
" b'ength': 996,\n",
|
1128 |
+
" b'include': 997,\n",
|
1129 |
+
" b'ader': 998,\n",
|
1130 |
+
" b' ': 999,\n",
|
1131 |
+
" ...}"
|
1132 |
+
]
|
1133 |
+
},
|
1134 |
+
"execution_count": 41,
|
1135 |
+
"metadata": {},
|
1136 |
+
"output_type": "execute_result"
|
1137 |
+
}
|
1138 |
+
],
|
1139 |
+
"source": [
|
1140 |
+
"tokenizer.get_vocab()"
|
1141 |
+
]
|
1142 |
+
},
|
1143 |
+
{
|
1144 |
+
"cell_type": "code",
|
1145 |
+
"execution_count": 42,
|
1146 |
+
"id": "8ea45811-b04f-461e-980e-7f7c6aa8e93c",
|
1147 |
+
"metadata": {},
|
1148 |
+
"outputs": [
|
1149 |
+
{
|
1150 |
+
"data": {
|
1151 |
+
"text/plain": [
|
1152 |
+
"[1350, 492, 151643, 863, 151643]"
|
1153 |
+
]
|
1154 |
+
},
|
1155 |
+
"execution_count": 42,
|
1156 |
+
"metadata": {},
|
1157 |
+
"output_type": "execute_result"
|
1158 |
+
}
|
1159 |
+
],
|
1160 |
+
"source": [
|
1161 |
+
"tokenizer.encode(\"print('<|endoftext|>')<|endoftext|>\")"
|
1162 |
+
]
|
1163 |
+
},
|
1164 |
+
{
|
1165 |
+
"cell_type": "code",
|
1166 |
+
"execution_count": 43,
|
1167 |
+
"id": "58f6bd7f-2162-4d76-8994-eea7c0a9b367",
|
1168 |
+
"metadata": {},
|
1169 |
+
"outputs": [
|
1170 |
+
{
|
1171 |
+
"data": {
|
1172 |
+
"text/plain": [
|
1173 |
+
"'print'"
|
1174 |
+
]
|
1175 |
+
},
|
1176 |
+
"execution_count": 43,
|
1177 |
+
"metadata": {},
|
1178 |
+
"output_type": "execute_result"
|
1179 |
+
}
|
1180 |
+
],
|
1181 |
+
"source": [
|
1182 |
+
"tokenizer.decode([1350])"
|
1183 |
+
]
|
1184 |
+
},
|
1185 |
+
{
|
1186 |
+
"cell_type": "code",
|
1187 |
+
"execution_count": 44,
|
1188 |
+
"id": "b655549f-f089-49c7-abff-6335a48ca117",
|
1189 |
+
"metadata": {},
|
1190 |
+
"outputs": [
|
1191 |
+
{
|
1192 |
+
"data": {
|
1193 |
+
"text/plain": [
|
1194 |
+
"\"print('<|endoftext|>')<|endoftext|>\""
|
1195 |
+
]
|
1196 |
+
},
|
1197 |
+
"execution_count": 44,
|
1198 |
+
"metadata": {},
|
1199 |
+
"output_type": "execute_result"
|
1200 |
+
}
|
1201 |
+
],
|
1202 |
+
"source": [
|
1203 |
+
"tokenizer.decode([1350, 492, 151643, 863, 151643])"
|
1204 |
+
]
|
1205 |
+
},
|
1206 |
+
{
|
1207 |
+
"cell_type": "code",
|
1208 |
+
"execution_count": 45,
|
1209 |
+
"id": "11e44fcd-f707-4cb6-aa50-0d8d6d69c7e9",
|
1210 |
+
"metadata": {},
|
1211 |
+
"outputs": [
|
1212 |
+
{
|
1213 |
+
"data": {
|
1214 |
+
"text/plain": [
|
1215 |
+
"151643"
|
1216 |
+
]
|
1217 |
+
},
|
1218 |
+
"execution_count": 45,
|
1219 |
+
"metadata": {},
|
1220 |
+
"output_type": "execute_result"
|
1221 |
+
}
|
1222 |
+
],
|
1223 |
+
"source": [
|
1224 |
+
"tokenizer.eod_id"
|
1225 |
+
]
|
1226 |
+
},
|
1227 |
+
{
|
1228 |
+
"cell_type": "code",
|
1229 |
+
"execution_count": 46,
|
1230 |
+
"id": "69277c19-171b-4d69-902c-738b3176aed6",
|
1231 |
+
"metadata": {},
|
1232 |
+
"outputs": [
|
1233 |
+
{
|
1234 |
+
"data": {
|
1235 |
+
"text/plain": [
|
1236 |
+
"[1350, 11146, 91, 8691, 723, 427, 91, 79865, 151643]"
|
1237 |
+
]
|
1238 |
+
},
|
1239 |
+
"execution_count": 46,
|
1240 |
+
"metadata": {},
|
1241 |
+
"output_type": "execute_result"
|
1242 |
+
}
|
1243 |
+
],
|
1244 |
+
"source": [
|
1245 |
+
"tokenizer.encode(\"print('<|endoftext|>')\", allowed_special=set(), disallowed_special=()) + [tokenizer.eod_id]"
|
1246 |
+
]
|
1247 |
+
},
|
1248 |
+
{
|
1249 |
+
"cell_type": "code",
|
1250 |
+
"execution_count": 47,
|
1251 |
+
"id": "692bd4b6-8098-4596-b2bb-81bfb04f1fa0",
|
1252 |
+
"metadata": {},
|
1253 |
+
"outputs": [
|
1254 |
+
{
|
1255 |
+
"data": {
|
1256 |
+
"text/plain": [
|
1257 |
+
"'<|endoftext|>'"
|
1258 |
+
]
|
1259 |
+
},
|
1260 |
+
"execution_count": 47,
|
1261 |
+
"metadata": {},
|
1262 |
+
"output_type": "execute_result"
|
1263 |
+
}
|
1264 |
+
],
|
1265 |
+
"source": [
|
1266 |
+
"tokenizer.decode([151643])"
|
1267 |
+
]
|
1268 |
+
},
|
1269 |
+
{
|
1270 |
+
"cell_type": "code",
|
1271 |
+
"execution_count": 48,
|
1272 |
+
"id": "49e51cb0-8242-489b-ace2-fc955e75844f",
|
1273 |
+
"metadata": {},
|
1274 |
+
"outputs": [
|
1275 |
+
{
|
1276 |
+
"data": {
|
1277 |
+
"text/plain": [
|
1278 |
+
"'|endoftext|'"
|
1279 |
+
]
|
1280 |
+
},
|
1281 |
+
"execution_count": 48,
|
1282 |
+
"metadata": {},
|
1283 |
+
"output_type": "execute_result"
|
1284 |
+
}
|
1285 |
+
],
|
1286 |
+
"source": [
|
1287 |
+
"tokenizer.decode([91, 8691, 723, 427, 91])"
|
1288 |
+
]
|
1289 |
+
},
|
1290 |
+
{
|
1291 |
+
"cell_type": "code",
|
1292 |
+
"execution_count": 49,
|
1293 |
+
"id": "fd732a3d-046c-42a5-9edc-636f324a44aa",
|
1294 |
+
"metadata": {},
|
1295 |
+
"outputs": [
|
1296 |
+
{
|
1297 |
+
"data": {
|
1298 |
+
"text/plain": [
|
1299 |
+
"\"('<\""
|
1300 |
+
]
|
1301 |
+
},
|
1302 |
+
"execution_count": 49,
|
1303 |
+
"metadata": {},
|
1304 |
+
"output_type": "execute_result"
|
1305 |
+
}
|
1306 |
+
],
|
1307 |
+
"source": [
|
1308 |
+
"tokenizer.decode([11146])"
|
1309 |
+
]
|
1310 |
+
},
|
1311 |
+
{
|
1312 |
+
"cell_type": "markdown",
|
1313 |
+
"id": "f3cab603-279b-48e6-b8ac-7ee82da543a5",
|
1314 |
+
"metadata": {},
|
1315 |
+
"source": [
|
1316 |
+
"**disallow emerge special tokens**"
|
1317 |
+
]
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"cell_type": "code",
|
1321 |
+
"execution_count": 51,
|
1322 |
+
"id": "72c2b0c0-38b0-41b0-9c4f-5246de72b07f",
|
1323 |
+
"metadata": {},
|
1324 |
+
"outputs": [
|
1325 |
+
{
|
1326 |
+
"ename": "ValueError",
|
1327 |
+
"evalue": "Encountered text corresponding to disallowed special token '<|endoftext|>'.\nIf you want this text to be encoded as a special token, pass it to `allowed_special`, e.g. `allowed_special={'<|endoftext|>', ...}`.\nIf you want this text to be encoded as normal text, disable the check for this token by passing `disallowed_special=(enc.special_tokens_set - {'<|endoftext|>'})`.\nTo disable this check for all special tokens, pass `disallowed_special=()`.\n",
|
1328 |
+
"output_type": "error",
|
1329 |
+
"traceback": [
|
1330 |
+
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
1331 |
+
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
|
1332 |
+
"Cell \u001b[0;32mIn[51], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mtokenizer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencode\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mprint(\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m<|endoftext|>\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m)\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mallowed_special\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mset\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdisallowed_special\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mall\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;241m+\u001b[39m [tokenizer\u001b[38;5;241m.\u001b[39meod_id]\n",
|
1333 |
+
"File \u001b[0;32m~/.local/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2373\u001b[0m, in \u001b[0;36mPreTrainedTokenizerBase.encode\u001b[0;34m(self, text, text_pair, add_special_tokens, padding, truncation, max_length, stride, return_tensors, **kwargs)\u001b[0m\n\u001b[1;32m 2336\u001b[0m \u001b[38;5;129m@add_end_docstrings\u001b[39m(\n\u001b[1;32m 2337\u001b[0m ENCODE_KWARGS_DOCSTRING,\n\u001b[1;32m 2338\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 2356\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[1;32m 2357\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m List[\u001b[38;5;28mint\u001b[39m]:\n\u001b[1;32m 2358\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 2359\u001b[0m \u001b[38;5;124;03m Converts a string to a sequence of ids (integer), using the tokenizer and vocabulary.\u001b[39;00m\n\u001b[1;32m 2360\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 2371\u001b[0m \u001b[38;5;124;03m method).\u001b[39;00m\n\u001b[1;32m 2372\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 2373\u001b[0m encoded_inputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencode_plus\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 2374\u001b[0m \u001b[43m \u001b[49m\u001b[43mtext\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2375\u001b[0m \u001b[43m \u001b[49m\u001b[43mtext_pair\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtext_pair\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2376\u001b[0m \u001b[43m \u001b[49m\u001b[43madd_special_tokens\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43madd_special_tokens\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2377\u001b[0m \u001b[43m \u001b[49m\u001b[43mpadding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpadding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2378\u001b[0m \u001b[43m \u001b[49m\u001b[43mtruncation\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtruncation\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2379\u001b[0m \u001b[43m \u001b[49m\u001b[43mmax_length\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmax_length\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2380\u001b[0m \u001b[43m \u001b[49m\u001b[43mstride\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstride\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2381\u001b[0m \u001b[43m \u001b[49m\u001b[43mreturn_tensors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mreturn_tensors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2382\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2383\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2385\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m encoded_inputs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124minput_ids\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n",
|
1334 |
+
"File \u001b[0;32m~/.local/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2781\u001b[0m, in \u001b[0;36mPreTrainedTokenizerBase.encode_plus\u001b[0;34m(self, text, text_pair, add_special_tokens, padding, truncation, max_length, stride, is_split_into_words, pad_to_multiple_of, return_tensors, return_token_type_ids, return_attention_mask, return_overflowing_tokens, return_special_tokens_mask, return_offsets_mapping, return_length, verbose, **kwargs)\u001b[0m\n\u001b[1;32m 2771\u001b[0m \u001b[38;5;66;03m# Backward compatibility for 'truncation_strategy', 'pad_to_max_length'\u001b[39;00m\n\u001b[1;32m 2772\u001b[0m padding_strategy, truncation_strategy, max_length, kwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_padding_truncation_strategies(\n\u001b[1;32m 2773\u001b[0m padding\u001b[38;5;241m=\u001b[39mpadding,\n\u001b[1;32m 2774\u001b[0m truncation\u001b[38;5;241m=\u001b[39mtruncation,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 2778\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[1;32m 2779\u001b[0m )\n\u001b[0;32m-> 2781\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_encode_plus\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 2782\u001b[0m \u001b[43m \u001b[49m\u001b[43mtext\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtext\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2783\u001b[0m \u001b[43m \u001b[49m\u001b[43mtext_pair\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtext_pair\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2784\u001b[0m \u001b[43m \u001b[49m\u001b[43madd_special_tokens\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43madd_special_tokens\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2785\u001b[0m \u001b[43m \u001b[49m\u001b[43mpadding_strategy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpadding_strategy\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2786\u001b[0m \u001b[43m \u001b[49m\u001b[43mtruncation_strategy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtruncation_strategy\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2787\u001b[0m \u001b[43m \u001b[49m\u001b[43mmax_length\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmax_length\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2788\u001b[0m \u001b[43m \u001b[49m\u001b[43mstride\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstride\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2789\u001b[0m \u001b[43m \u001b[49m\u001b[43mis_split_into_words\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mis_split_into_words\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2790\u001b[0m \u001b[43m \u001b[49m\u001b[43mpad_to_multiple_of\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpad_to_multiple_of\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2791\u001b[0m \u001b[43m \u001b[49m\u001b[43mreturn_tensors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mreturn_tensors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2792\u001b[0m \u001b[43m \u001b[49m\u001b[43mreturn_token_type_ids\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mreturn_token_type_ids\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2793\u001b[0m \u001b[43m \u001b[49m\u001b[43mreturn_attention_mask\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mreturn_attention_mask\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2794\u001b[0m \u001b[43m \u001b[49m\u001b[43mreturn_overflowing_tokens\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mreturn_overflowing_tokens\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2795\u001b[0m \u001b[43m \u001b[49m\u001b[43mreturn_special_tokens_mask\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mreturn_special_tokens_mask\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2796\u001b[0m \u001b[43m \u001b[49m\u001b[43mreturn_offsets_mapping\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mreturn_offsets_mapping\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2797\u001b[0m \u001b[43m \u001b[49m\u001b[43mreturn_length\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mreturn_length\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2798\u001b[0m \u001b[43m \u001b[49m\u001b[43mverbose\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mverbose\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2799\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2800\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
|
1335 |
+
"File \u001b[0;32m~/.local/lib/python3.10/site-packages/transformers/tokenization_utils.py:656\u001b[0m, in \u001b[0;36mPreTrainedTokenizer._encode_plus\u001b[0;34m(self, text, text_pair, add_special_tokens, padding_strategy, truncation_strategy, max_length, stride, is_split_into_words, pad_to_multiple_of, return_tensors, return_token_type_ids, return_attention_mask, return_overflowing_tokens, return_special_tokens_mask, return_offsets_mapping, return_length, verbose, **kwargs)\u001b[0m\n\u001b[1;32m 647\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m return_offsets_mapping:\n\u001b[1;32m 648\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mNotImplementedError\u001b[39;00m(\n\u001b[1;32m 649\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mreturn_offset_mapping is not available when using Python tokenizers. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 650\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTo use this feature, change your tokenizer to one deriving from \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 653\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhttps://github.com/huggingface/transformers/pull/2674\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 654\u001b[0m )\n\u001b[0;32m--> 656\u001b[0m first_ids \u001b[38;5;241m=\u001b[39m \u001b[43mget_input_ids\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtext\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 657\u001b[0m second_ids \u001b[38;5;241m=\u001b[39m get_input_ids(text_pair) \u001b[38;5;28;01mif\u001b[39;00m text_pair \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 659\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprepare_for_model(\n\u001b[1;32m 660\u001b[0m first_ids,\n\u001b[1;32m 661\u001b[0m pair_ids\u001b[38;5;241m=\u001b[39msecond_ids,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 675\u001b[0m verbose\u001b[38;5;241m=\u001b[39mverbose,\n\u001b[1;32m 676\u001b[0m )\n",
|
1336 |
+
"File \u001b[0;32m~/.local/lib/python3.10/site-packages/transformers/tokenization_utils.py:623\u001b[0m, in \u001b[0;36mPreTrainedTokenizer._encode_plus.<locals>.get_input_ids\u001b[0;34m(text)\u001b[0m\n\u001b[1;32m 621\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_input_ids\u001b[39m(text):\n\u001b[1;32m 622\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(text, \u001b[38;5;28mstr\u001b[39m):\n\u001b[0;32m--> 623\u001b[0m tokens \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtokenize\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 624\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconvert_tokens_to_ids(tokens)\n\u001b[1;32m 625\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(text, (\u001b[38;5;28mlist\u001b[39m, \u001b[38;5;28mtuple\u001b[39m)) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(text) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(text[\u001b[38;5;241m0\u001b[39m], \u001b[38;5;28mstr\u001b[39m):\n",
|
1337 |
+
"File \u001b[0;32m~/.cache/huggingface/modules/transformers_modules/Qwen/Qwen-7B/4792686b9af1b3663a02f39bc44f37326f4f30f4/tokenization_qwen.py:182\u001b[0m, in \u001b[0;36mQWenTokenizer.tokenize\u001b[0;34m(self, text, allowed_special, disallowed_special, **kwargs)\u001b[0m\n\u001b[1;32m 179\u001b[0m text \u001b[38;5;241m=\u001b[39m unicodedata\u001b[38;5;241m.\u001b[39mnormalize(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNFC\u001b[39m\u001b[38;5;124m\"\u001b[39m, text)\n\u001b[1;32m 181\u001b[0m \u001b[38;5;66;03m# this implementation takes a detour: text -> token id -> token surface forms\u001b[39;00m\n\u001b[0;32m--> 182\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m t \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtokenizer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencode\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 183\u001b[0m \u001b[43m \u001b[49m\u001b[43mtext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mallowed_special\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mallowed_special\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdisallowed_special\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdisallowed_special\u001b[49m\n\u001b[1;32m 184\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m:\n\u001b[1;32m 185\u001b[0m tokens\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdecoder[t])\n\u001b[1;32m 186\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m tokens\n",
|
1338 |
+
"File \u001b[0;32m~/.local/lib/python3.10/site-packages/tiktoken/core.py:117\u001b[0m, in \u001b[0;36mEncoding.encode\u001b[0;34m(self, text, allowed_special, disallowed_special)\u001b[0m\n\u001b[1;32m 115\u001b[0m disallowed_special \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mfrozenset\u001b[39m(disallowed_special)\n\u001b[1;32m 116\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m match \u001b[38;5;241m:=\u001b[39m _special_token_regex(disallowed_special)\u001b[38;5;241m.\u001b[39msearch(text):\n\u001b[0;32m--> 117\u001b[0m \u001b[43mraise_disallowed_special_token\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmatch\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgroup\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 119\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 120\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_core_bpe\u001b[38;5;241m.\u001b[39mencode(text, allowed_special)\n",
|
1339 |
+
"File \u001b[0;32m~/.local/lib/python3.10/site-packages/tiktoken/core.py:351\u001b[0m, in \u001b[0;36mraise_disallowed_special_token\u001b[0;34m(token)\u001b[0m\n\u001b[1;32m 350\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mraise_disallowed_special_token\u001b[39m(token: \u001b[38;5;28mstr\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m NoReturn:\n\u001b[0;32m--> 351\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 352\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mEncountered text corresponding to disallowed special token \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtoken\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 353\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIf you want this text to be encoded as a special token, \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 354\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpass it to `allowed_special`, e.g. `allowed_special=\u001b[39m\u001b[38;5;130;01m{{\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00mtoken\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m, ...\u001b[39m\u001b[38;5;130;01m}}\u001b[39;00m\u001b[38;5;124m`.\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 355\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIf you want this text to be encoded as normal text, disable the check for this token \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 356\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mby passing `disallowed_special=(enc.special_tokens_set - \u001b[39m\u001b[38;5;130;01m{{\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00mtoken\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;130;01m}}\u001b[39;00m\u001b[38;5;124m)`.\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 357\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTo disable this check for all special tokens, pass `disallowed_special=()`.\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 358\u001b[0m )\n",
|
1340 |
+
"\u001b[0;31mValueError\u001b[0m: Encountered text corresponding to disallowed special token '<|endoftext|>'.\nIf you want this text to be encoded as a special token, pass it to `allowed_special`, e.g. `allowed_special={'<|endoftext|>', ...}`.\nIf you want this text to be encoded as normal text, disable the check for this token by passing `disallowed_special=(enc.special_tokens_set - {'<|endoftext|>'})`.\nTo disable this check for all special tokens, pass `disallowed_special=()`.\n"
|
1341 |
+
]
|
1342 |
+
}
|
1343 |
+
],
|
1344 |
+
"source": [
|
1345 |
+
"tokenizer.encode(\"print('<|endoftext|>')\", allowed_special=set(), disallowed_special='all') + [tokenizer.eod_id]"
|
1346 |
+
]
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"cell_type": "code",
|
1350 |
+
"execution_count": 52,
|
1351 |
+
"id": "d730bd02-d07f-42e8-8bf1-d311e6337061",
|
1352 |
+
"metadata": {},
|
1353 |
+
"outputs": [
|
1354 |
+
{
|
1355 |
+
"name": "stderr",
|
1356 |
+
"output_type": "stream",
|
1357 |
+
"text": [
|
1358 |
+
"Using unk_token, but it is not set yet.\n"
|
1359 |
+
]
|
1360 |
+
}
|
1361 |
+
],
|
1362 |
+
"source": [
|
1363 |
+
"tokenizer.unk_token"
|
1364 |
+
]
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"cell_type": "code",
|
1368 |
+
"execution_count": 58,
|
1369 |
+
"id": "e1d658dd-03d4-4bb2-8947-e6d84f654d6f",
|
1370 |
+
"metadata": {},
|
1371 |
+
"outputs": [
|
1372 |
+
{
|
1373 |
+
"data": {
|
1374 |
+
"text/plain": [
|
1375 |
+
"NoneType"
|
1376 |
+
]
|
1377 |
+
},
|
1378 |
+
"execution_count": 58,
|
1379 |
+
"metadata": {},
|
1380 |
+
"output_type": "execute_result"
|
1381 |
+
}
|
1382 |
+
],
|
1383 |
+
"source": [
|
1384 |
+
"type(tokenizer.pad_token_id)\n",
|
1385 |
+
"#tokenizer._convert_id_to_token(tokenizer.pad_token_id)"
|
1386 |
+
]
|
1387 |
+
},
|
1388 |
+
{
|
1389 |
+
"cell_type": "code",
|
1390 |
+
"execution_count": 54,
|
1391 |
+
"id": "139d66d9-017a-40d4-8b2d-919a78439ddf",
|
1392 |
+
"metadata": {},
|
1393 |
+
"outputs": [
|
1394 |
+
{
|
1395 |
+
"data": {
|
1396 |
+
"text/plain": [
|
1397 |
+
"151646"
|
1398 |
+
]
|
1399 |
+
},
|
1400 |
+
"execution_count": 54,
|
1401 |
+
"metadata": {},
|
1402 |
+
"output_type": "execute_result"
|
1403 |
+
}
|
1404 |
+
],
|
1405 |
+
"source": [
|
1406 |
+
"tokenizer.special_tokens['<|extra_0|>']\n",
|
1407 |
+
"#tokenizer.special_tokens['<|extra_204|>']"
|
1408 |
+
]
|
1409 |
+
},
|
1410 |
+
{
|
1411 |
+
"cell_type": "markdown",
|
1412 |
+
"id": "15efb8c0-073e-4f9a-974c-9709f705e5f3",
|
1413 |
+
"metadata": {},
|
1414 |
+
"source": [
|
1415 |
+
"#abc"
|
1416 |
+
]
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"cell_type": "code",
|
1420 |
+
"execution_count": null,
|
1421 |
+
"id": "b714951c-745e-41dd-86d2-89e28862e21c",
|
1422 |
+
"metadata": {},
|
1423 |
+
"outputs": [],
|
1424 |
+
"source": [
|
1425 |
+
"ids = [1350, 11146, 91, 8691, 723, 427, 91, 79865, 151643]\n",
|
1426 |
+
"tokenizer.convert_ids_to_tokens(ids)"
|
1427 |
+
]
|
1428 |
+
},
|
1429 |
+
{
|
1430 |
+
"cell_type": "code",
|
1431 |
+
"execution_count": 78,
|
1432 |
+
"id": "0c217322-b24b-4803-bb4d-fb9c675fef5f",
|
1433 |
+
"metadata": {},
|
1434 |
+
"outputs": [
|
1435 |
+
{
|
1436 |
+
"data": {
|
1437 |
+
"text/plain": [
|
1438 |
+
"[b' ']"
|
1439 |
+
]
|
1440 |
+
},
|
1441 |
+
"execution_count": 78,
|
1442 |
+
"metadata": {},
|
1443 |
+
"output_type": "execute_result"
|
1444 |
+
}
|
1445 |
+
],
|
1446 |
+
"source": [
|
1447 |
+
"ids = tokenizer.encode(\" \")\n",
|
1448 |
+
"tokenizer.convert_ids_to_tokens(ids)"
|
1449 |
+
]
|
1450 |
+
},
|
1451 |
+
{
|
1452 |
+
"cell_type": "code",
|
1453 |
+
"execution_count": 101,
|
1454 |
+
"id": "1ac63768-bb7c-45de-ba95-ca918db5f806",
|
1455 |
+
"metadata": {},
|
1456 |
+
"outputs": [
|
1457 |
+
{
|
1458 |
+
"name": "stdout",
|
1459 |
+
"output_type": "stream",
|
1460 |
+
"text": [
|
1461 |
+
"ids: [151644, 1350, 492, 35946, 99639, 91680, 100472, 151646, 1305, 2, 116198, 116198, 116198, 13, 10236, 226, 114, 151645, 151643]\n"
|
1462 |
+
]
|
1463 |
+
}
|
1464 |
+
],
|
1465 |
+
"source": [
|
1466 |
+
"ids = tokenizer.encode(\"<|im_start|>print('我是一只猫<|extra_0|>')\\n#喵喵喵. 然<|im_end|>\", \n",
|
1467 |
+
" allowed_special={'<|im_start|>', '<|im_end|>', '<|extra_0|>'}, \n",
|
1468 |
+
" disallowed_special={'<|endoftext|>'}) + [tokenizer.eod_id]\n",
|
1469 |
+
"print(\"ids:\", ids)"
|
1470 |
+
]
|
1471 |
+
},
|
1472 |
+
{
|
1473 |
+
"cell_type": "code",
|
1474 |
+
"execution_count": 102,
|
1475 |
+
"id": "47530127-7f66-4b2c-9396-10b672ef9c4c",
|
1476 |
+
"metadata": {},
|
1477 |
+
"outputs": [
|
1478 |
+
{
|
1479 |
+
"data": {
|
1480 |
+
"text/plain": [
|
1481 |
+
"['<|im_start|>',\n",
|
1482 |
+
" b'print',\n",
|
1483 |
+
" b\"('\",\n",
|
1484 |
+
" b'\\xe6\\x88\\x91',\n",
|
1485 |
+
" b'\\xe6\\x98\\xaf\\xe4\\xb8\\x80',\n",
|
1486 |
+
" b'\\xe5\\x8f\\xaa',\n",
|
1487 |
+
" b'\\xe7\\x8c\\xab',\n",
|
1488 |
+
" '<|extra_0|>',\n",
|
1489 |
+
" b\"')\\n\",\n",
|
1490 |
+
" b'#',\n",
|
1491 |
+
" b'\\xe5\\x96\\xb5',\n",
|
1492 |
+
" b'\\xe5\\x96\\xb5',\n",
|
1493 |
+
" b'\\xe5\\x96\\xb5',\n",
|
1494 |
+
" b'.',\n",
|
1495 |
+
" b' \\xe7',\n",
|
1496 |
+
" b'\\x84',\n",
|
1497 |
+
" b'\\xb6',\n",
|
1498 |
+
" '<|im_end|>',\n",
|
1499 |
+
" '<|endoftext|>']"
|
1500 |
+
]
|
1501 |
+
},
|
1502 |
+
"execution_count": 102,
|
1503 |
+
"metadata": {},
|
1504 |
+
"output_type": "execute_result"
|
1505 |
+
}
|
1506 |
+
],
|
1507 |
+
"source": [
|
1508 |
+
"tokenizer.convert_ids_to_tokens(ids)\n",
|
1509 |
+
"##bytes to string\n",
|
1510 |
+
"\n",
|
1511 |
+
"# for t in tokens:\n",
|
1512 |
+
"# if isinstance(t, bytes):\n",
|
1513 |
+
"# try:\n",
|
1514 |
+
"# t = t.decode('utf-8')\n",
|
1515 |
+
"# except:\n",
|
1516 |
+
"# print(\"*\", t)\n",
|
1517 |
+
"# t = t.decode('iso-8859-1')\n",
|
1518 |
+
"# print(t)\n",
|
1519 |
+
" "
|
1520 |
+
]
|
1521 |
+
},
|
1522 |
+
{
|
1523 |
+
"cell_type": "code",
|
1524 |
+
"execution_count": null,
|
1525 |
+
"id": "c9a655c8-cf35-4209-9815-dd077fdfe6d7",
|
1526 |
+
"metadata": {},
|
1527 |
+
"outputs": [],
|
1528 |
+
"source": [
|
1529 |
+
"tokenizer.convert_tokens_to_string(tokenizer.convert_ids_to_tokens(ids))"
|
1530 |
+
]
|
1531 |
+
},
|
1532 |
+
{
|
1533 |
+
"cell_type": "code",
|
1534 |
+
"execution_count": 64,
|
1535 |
+
"id": "26664e1a-192f-499f-9411-d6639d302b73",
|
1536 |
+
"metadata": {},
|
1537 |
+
"outputs": [
|
1538 |
+
{
|
1539 |
+
"data": {
|
1540 |
+
"text/plain": [
|
1541 |
+
"'是一'"
|
1542 |
+
]
|
1543 |
+
},
|
1544 |
+
"execution_count": 64,
|
1545 |
+
"metadata": {},
|
1546 |
+
"output_type": "execute_result"
|
1547 |
+
}
|
1548 |
+
],
|
1549 |
+
"source": [
|
1550 |
+
"bbytes = b'\\xe6\\x98\\xaf\\xe4\\xb8\\x80'\n",
|
1551 |
+
"bbytes.decode('utf-8')"
|
1552 |
+
]
|
1553 |
+
},
|
1554 |
+
{
|
1555 |
+
"cell_type": "code",
|
1556 |
+
"execution_count": null,
|
1557 |
+
"id": "0a50927d-0a26-4083-976a-3ec600405f7b",
|
1558 |
+
"metadata": {},
|
1559 |
+
"outputs": [],
|
1560 |
+
"source": []
|
1561 |
+
}
|
1562 |
+
],
|
1563 |
+
"metadata": {
|
1564 |
+
"kernelspec": {
|
1565 |
+
"display_name": "Python 3 (ipykernel)",
|
1566 |
+
"language": "python",
|
1567 |
+
"name": "python3"
|
1568 |
+
},
|
1569 |
+
"language_info": {
|
1570 |
+
"codemirror_mode": {
|
1571 |
+
"name": "ipython",
|
1572 |
+
"version": 3
|
1573 |
+
},
|
1574 |
+
"file_extension": ".py",
|
1575 |
+
"mimetype": "text/x-python",
|
1576 |
+
"name": "python",
|
1577 |
+
"nbconvert_exporter": "python",
|
1578 |
+
"pygments_lexer": "ipython3",
|
1579 |
+
"version": "3.10.6"
|
1580 |
+
}
|
1581 |
+
},
|
1582 |
+
"nbformat": 4,
|
1583 |
+
"nbformat_minor": 5
|
1584 |
+
}
|
tiktoken_test.ipynb
ADDED
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|
|