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:
- 2679af0540016bebee757119889b0b11395bccd3128d2fbb091345466ce1b6ae
- Size of remote file:
- 431 MB
- SHA256:
- 08dcd17a12a15d2ad1106a39b744653ca9ef5f0462221c70481e73ea0420f301
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