Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use Ce/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ce/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Ce/bert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Ce/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Ce/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add evaluation results on the conll2003 config and test split of conll2003
Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\ Your model has been evaluated on the conll2003 config and test split of the [conll2003](https://huggingface.co/datasets/conll2003) dataset by @ashwathjadhav23, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-conll2003-conll2003-19d2d7-41085145069).\ Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=conll2003).\ Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=conll2003).69d261b
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update model card README.md
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Training complete
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Training in progress, epoch 1
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initial commit
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