Token Classification
Transformers
PyTorch
TensorFlow
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use huggingface-course/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huggingface-course/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="huggingface-course/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("huggingface-course/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("huggingface-course/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 572e1377232c43076cda5e05c6d6105665686d0980b183a7d3898b3d47fd6eac
- Size of remote file:
- 2.8 kB
- SHA256:
- 85583d389d54a270567a21071ff89ac3be013f52eb67d36018a79a92c971b289
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