Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use 25b3nk/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 25b3nk/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="25b3nk/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("25b3nk/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("25b3nk/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb2696e314e7e1d86342fe536b5d59ce9a75ed0808bf366685c6cf5bf59f264f
- Size of remote file:
- 5.37 kB
- SHA256:
- 097e8692051ae78338669325ea95a9e18e52a129c398d7ea0d82eac2c192089c
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