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import tiktoken
from tiktoken import Encoding
tokenizer = tiktoken.encoding_for_model('gpt-4')
tokenizer.vocab_size = tokenizer.n_vocab
def decode(self, tokens, errors="replace"):
# def decode(self, tokens: list[int], errors: str = "replace") -> str:
try:
decode_str = self._core_bpe.decode_bytes(tokens).decode("utf-8", errors=errors)
except:
decode_str = "null"
return decode_str
def convert_ids_to_tokens(self, tokens):
return tokenizer.decode_tokens_bytes(tokens)
def get_vocab(self):
"""Returns vocab as a dict"""
vocab = {}
for i in range(self.vocab_size):
try:
token_byte = self.convert_ids_to_tokens([i])[0]
token_str = token_byte.decode("utf-8")
vocab[token_str] = i
except KeyError:
print("gpt_35_turbo decode KeyError", i)
except UnicodeDecodeError:
print("gpt_35_turbo decode UnicodeDecodeError", i, str(token_byte))
# vocab.update(self.added_tokens_encoder)
return vocab
Encoding.decode = decode
Encoding.convert_ids_to_tokens = convert_ids_to_tokens
Encoding.get_vocab = get_vocab
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