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:
- 3f542f280a78d2fc0d0c1359df1ab59f702c77b871b1d7aba0cc932544ef594d
- Size of remote file:
- 3.96 kB
- SHA256:
- 9218ceba7621e1923661133f6da5c50b9a34f7a8b8581576b17f7740d7a0745b
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