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:
- bec9460d3a2e8da2f02ebe7d8587b37d2aaf3b01f5d890c777ac48ea03e3d51a
- Size of remote file:
- 436 MB
- SHA256:
- 147e824726e36167f206fe9d9286c039302b1ab5d2fda15ca3a621d4d7e052cb
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