Instructions to use shellypeng/deberta-base-cased-finetuned-ner-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shellypeng/deberta-base-cased-finetuned-ner-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="shellypeng/deberta-base-cased-finetuned-ner-final")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("shellypeng/deberta-base-cased-finetuned-ner-final") model = AutoModelForTokenClassification.from_pretrained("shellypeng/deberta-base-cased-finetuned-ner-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Model save
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Training in progress, epoch 4
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Training in progress, epoch 3
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Training in progress, epoch 2
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Training in progress, epoch 1
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initial commit
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