Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use PascalY/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PascalY/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="PascalY/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("PascalY/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("PascalY/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb151a9b245f3bb275f33f72adc0265e18ea3faa10cbcbdc4b03e9cf32b393eb
- Size of remote file:
- 436 MB
- SHA256:
- 2f2ca7b586ed8a2d538427822d6ba6d30db115b36b5f1dfa6c033a2cc71a99df
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