Commit From AutoTrain
Browse files- .gitattributes +2 -0
- README.md +52 -0
- config.json +162 -0
- pytorch_model.bin +3 -0
- sample_input.pkl +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- vocab.txt +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.tar.gz filter=lfs diff=lfs merge=lfs -text
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*.pkl filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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tags: autotrain
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language: en
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widget:
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- text: "I love AutoTrain 🤗"
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datasets:
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- palakagl/autotrain-data-PersonalAssitant
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co2_eq_emissions: 7.025108874009706
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---
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# Model Trained Using AutoTrain
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- Problem type: Multi-class Classification
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- Model ID: 717221787
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- CO2 Emissions (in grams): 7.025108874009706
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## Validation Metrics
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- Loss: 0.35467109084129333
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- Accuracy: 0.9186046511627907
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- Macro F1: 0.9202890631142154
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- Micro F1: 0.9186046511627907
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- Weighted F1: 0.9185859051606837
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- Macro Precision: 0.921802482563032
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- Micro Precision: 0.9186046511627907
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- Weighted Precision: 0.9210238644296779
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- Macro Recall: 0.9218155764486292
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- Micro Recall: 0.9186046511627907
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- Weighted Recall: 0.9186046511627907
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## Usage
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You can use cURL to access this model:
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```
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$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/palakagl/autotrain-PersonalAssitant-717221787
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```
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Or Python API:
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```
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from transformers import AutoModelForSequenceClassification, AutoTokenizer
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model = AutoModelForSequenceClassification.from_pretrained("palakagl/autotrain-PersonalAssitant-717221787", use_auth_token=True)
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tokenizer = AutoTokenizer.from_pretrained("palakagl/autotrain-PersonalAssitant-717221787", use_auth_token=True)
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inputs = tokenizer("I love AutoTrain", return_tensors="pt")
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outputs = model(**inputs)
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```
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config.json
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{
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"_name_or_path": "AutoTrain",
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"_num_labels": 64,
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "alarm_query",
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"1": "alarm_remove",
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"2": "alarm_set",
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"3": "audio_volume_down",
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"4": "audio_volume_mute",
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"5": "audio_volume_up",
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"6": "calendar_query",
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"7": "calendar_remove",
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"8": "calendar_set",
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"9": "cooking_recipe",
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"10": "datetime_convert",
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"11": "datetime_query",
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"12": "email_addcontact",
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"13": "email_query",
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"14": "email_querycontact",
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"15": "email_sendemail",
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"16": "general_affirm",
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"17": "general_commandstop",
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"18": "general_confirm",
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"19": "general_dontcare",
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"20": "general_explain",
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"21": "general_joke",
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"22": "general_negate",
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"23": "general_praise",
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"24": "general_quirky",
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"25": "general_repeat",
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"26": "iot_cleaning",
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"27": "iot_coffee",
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"28": "iot_hue_lightchange",
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"29": "iot_hue_lightdim",
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"30": "iot_hue_lightoff",
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"31": "iot_hue_lighton",
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"32": "iot_hue_lightup",
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"33": "iot_wemo_off",
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"34": "iot_wemo_on",
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"35": "lists_createoradd",
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"36": "lists_query",
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"37": "lists_remove",
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"38": "music_likeness",
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"39": "music_query",
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"40": "music_settings",
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"41": "news_query",
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"42": "play_audiobook",
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"43": "play_game",
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"44": "play_music",
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"45": "play_podcasts",
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"46": "play_radio",
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"47": "qa_currency",
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"48": "qa_definition",
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"49": "qa_factoid",
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"50": "qa_maths",
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"51": "qa_stock",
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"52": "recommendation_events",
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"53": "recommendation_locations",
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"54": "recommendation_movies",
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"55": "social_post",
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"56": "social_query",
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"57": "takeaway_order",
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"58": "takeaway_query",
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"59": "transport_query",
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"60": "transport_taxi",
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"61": "transport_ticket",
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"62": "transport_traffic",
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"63": "weather_query"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"alarm_query": 0,
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"alarm_remove": 1,
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"alarm_set": 2,
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"audio_volume_down": 3,
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"audio_volume_mute": 4,
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"audio_volume_up": 5,
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"calendar_query": 6,
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"calendar_remove": 7,
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"calendar_set": 8,
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"cooking_recipe": 9,
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"datetime_convert": 10,
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"datetime_query": 11,
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"email_addcontact": 12,
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"email_query": 13,
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"email_querycontact": 14,
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"email_sendemail": 15,
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"general_affirm": 16,
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"general_commandstop": 17,
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"general_confirm": 18,
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"general_dontcare": 19,
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"general_explain": 20,
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"general_joke": 21,
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"general_negate": 22,
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"general_praise": 23,
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"general_quirky": 24,
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"general_repeat": 25,
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"iot_cleaning": 26,
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"iot_coffee": 27,
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"iot_hue_lightchange": 28,
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"iot_hue_lightdim": 29,
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"iot_hue_lightoff": 30,
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"iot_hue_lighton": 31,
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"iot_hue_lightup": 32,
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"iot_wemo_off": 33,
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"iot_wemo_on": 34,
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"lists_createoradd": 35,
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"lists_query": 36,
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"lists_remove": 37,
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"music_likeness": 38,
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"music_query": 39,
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"music_settings": 40,
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"news_query": 41,
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"play_audiobook": 42,
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"play_game": 43,
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"play_music": 44,
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"play_podcasts": 45,
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"play_radio": 46,
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"qa_currency": 47,
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"qa_definition": 48,
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"qa_factoid": 49,
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"qa_maths": 50,
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"qa_stock": 51,
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"recommendation_events": 52,
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"recommendation_locations": 53,
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"recommendation_movies": 54,
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"social_post": 55,
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"social_query": 56,
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"takeaway_order": 57,
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"takeaway_query": 58,
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"transport_query": 59,
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"transport_taxi": 60,
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"transport_ticket": 61,
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"transport_traffic": 62,
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"weather_query": 63
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},
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"layer_norm_eps": 1e-12,
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"max_length": 128,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"padding": "max_length",
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.15.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 28996
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:41b27d733cd64e595ca76ad9f7725c7dc2d6ee1b020113d84cb1ceb60cd03621
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size 433522093
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sample_input.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:bfb02be1a26f41b446ef11401f8ce316ca9ac8e659425ee377e26e4bb493c092
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size 4384
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tokenizer.json
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tokenizer_config.json
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{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "AutoTrain", "tokenizer_class": "BertTokenizer"}
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vocab.txt
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