Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use vesteinn/IceBERT-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vesteinn/IceBERT-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vesteinn/IceBERT-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vesteinn/IceBERT-ner") model = AutoModelForTokenClassification.from_pretrained("vesteinn/IceBERT-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Librarian Bot: Add base_model information to model (#4)
- Librarian Bot: Add base_model information to model (cb39ab7a3e124b255831c55b1cfbae135bc1fd8d) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>0aeaa30
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Adding `safetensors` variant of this model (#3)
- Adding `safetensors` variant of this model (092a42958958e05154e1b5b5d74050f052490f5e) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>4e8796d
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Update README.md
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Update config.json
bcce741 -
update model card README.md
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End of training
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Training in progress, step 500
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initial commit
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