Commit From AutoTrain
Browse files- .gitattributes +3 -0
- README.md +49 -0
- config.json +3 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +3 -0
- vocab.txt +0 -0
.gitattributes
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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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- en
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widget:
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- text: "I love AutoTrain 🤗"
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datasets:
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- deepaksiloka/autotrain-data-name_classification_3
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co2_eq_emissions:
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emissions: 1.0819688360882111
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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: 1686659457
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- CO2 Emissions (in grams): 1.0820
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## Validation Metrics
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- Loss: 0.087
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- Accuracy: 0.978
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- Precision: 0.979
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- Recall: 0.987
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- F1: 0.983
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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/deepaksiloka/autotrain-name_classification_3-1686659457
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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("deepaksiloka/autotrain-name_classification_3-1686659457", use_auth_token=True)
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tokenizer = AutoTokenizer.from_pretrained("deepaksiloka/autotrain-name_classification_3-1686659457", 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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version https://git-lfs.github.com/spec/v1
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size 830
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 435643185
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special_tokens_map.json
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version https://git-lfs.github.com/spec/v1
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size 125
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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size 711659
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tokenizer_config.json
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version https://git-lfs.github.com/spec/v1
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size 340
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vocab.txt
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