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:
- 812550f7510bcd0f7fa49a112891ac7ff039160e80946292d2a6335a868e0b2a
- Size of remote file:
- 3.96 kB
- SHA256:
- 894d74d3e2dd62787f02077da4b56919af8dc09e2c7c069e7d94407d996fb92c
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