Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use m0saan/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m0saan/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="m0saan/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("m0saan/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("m0saan/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32fbec2fa15cc8f2e64587bd661362e72e2b8062b11e1c776aea210cb0e2273e
- Size of remote file:
- 431 MB
- SHA256:
- 70caea5f5a2390613ce42b5eed19856708509d42d235cc9e2105d0e1ca8eb6c6
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