Instructions to use philschmid/distilroberta-base-ner-wikiann with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/distilroberta-base-ner-wikiann with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="philschmid/distilroberta-base-ner-wikiann")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("philschmid/distilroberta-base-ner-wikiann") model = AutoModelForTokenClassification.from_pretrained("philschmid/distilroberta-base-ner-wikiann", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#2)
- Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (b85483beefa8372e058eb3a6de9087786d2a6697) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>35b43f5
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Add evaluation results on wikiann dataset (#1)
- Add evaluation results on wikiann dataset (a0ddec19677bf92b5f89fddeae859521c24bca70) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>595c043
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Update README.md
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Update README.md
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Update config.json
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add model
Philipp Schmidf3c0fe6 -
initial commit
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