Instructions to use philschmid/distilroberta-base-ner-conll2003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/distilroberta-base-ner-conll2003 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="philschmid/distilroberta-base-ner-conll2003")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("philschmid/distilroberta-base-ner-conll2003") model = AutoModelForTokenClassification.from_pretrained("philschmid/distilroberta-base-ner-conll2003", 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 (1945cdf9de78b0824906dc0152b377562a6e6037) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>dba384b
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Add evaluation results on conll2003 dataset (#1)
- Add evaluation results on conll2003 dataset (d97045e2d48ee562b538d32a1521ddb41c1e13bb) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>f66a714
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Update README.md
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Update config.json
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Update config.json
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Update README.md
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add model
Philipp Schmid887d5f9 -
initial commit
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