Commit From AutoTrain
Browse files- .gitattributes +3 -0
- README.md +49 -0
- config.json +49 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +3 -0
- tokenizer_config.json +65 -0
- vocab.json +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst 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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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.bin.* filter=lfs diff=lfs merge=lfs -text
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*.tar.gz filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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tags:
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- autotrain
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- token-classification
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language:
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- unk
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widget:
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- text: "I love AutoTrain"
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datasets:
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- yousufrasheed0900/autotrain-data-token-classification
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co2_eq_emissions:
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emissions: 0.2563840473454543
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---
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# Model Trained Using AutoTrain
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- Problem type: Entity Extraction
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- Model ID: 88340143649
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- CO2 Emissions (in grams): 0.2564
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## Validation Metrics
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- Loss: 0.071
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- Accuracy: 0.982
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- Precision: 0.000
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- Recall: 0.000
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- F1: 0.000
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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/yousufrasheed0900/autotrain-token-classification-88340143649
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```
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Or Python API:
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```
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from transformers import AutoModelForTokenClassification, AutoTokenizer
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model = AutoModelForTokenClassification.from_pretrained("yousufrasheed0900/autotrain-token-classification-88340143649", use_auth_token=True)
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tokenizer = AutoTokenizer.from_pretrained("yousufrasheed0900/autotrain-token-classification-88340143649", 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": 7,
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"architectures": [
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"RobertaForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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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": "0",
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"1": "1",
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"2": "2",
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"3": "3",
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"4": "4",
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"5": "5",
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"6": "6"
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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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"0": 0,
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"1": 1,
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"2": 2,
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"3": 3,
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"4": 4,
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"5": 5,
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"6": 6
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},
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"layer_norm_eps": 1e-05,
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"max_length": 64,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"padding": "max_length",
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.29.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 52000
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}
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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:699fc63d27c403c147ec1a343fa3c38edfb6bf42b7f612ed81a94c58bcb9c04f
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size 501599748
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:65775e80c518afca48afe0fe27d39826c70ea738a85feedc55a22884ad6ccf1c
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size 501644333
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special_tokens_map.json
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{
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"bos_token": {
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:f162caafc26294af0c1a6ec9d1d2bc6f484c77c8120e232d2fa505eb90aa5f98
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size 3537698
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tokenizer_config.json
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{
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},
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"eos_token": {
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"normalized": true,
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},
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"model_max_length": 1000000000000000019884624838656,
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"content": "<pad>",
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"normalized": true,
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"single_word": false
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},
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"tokenizer_class": "RobertaTokenizer",
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"rstrip": false,
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"single_word": false
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}
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}
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vocab.json
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