Token Classification
Transformers
PyTorch
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use gyronee/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gyronee/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="gyronee/bert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("gyronee/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("gyronee/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (7f46f9a72128f7685aed51980861e23874370509) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>ffc7db8
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update model card README.md
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Training in progress, epoch 3
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Training in progress, epoch 2
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Training in progress, epoch 1
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initial commit
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