Instructions to use RashidNLP/NER-Deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RashidNLP/NER-Deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RashidNLP/NER-Deberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RashidNLP/NER-Deberta") model = AutoModelForTokenClassification.from_pretrained("RashidNLP/NER-Deberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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pipeline_tag: token-classification
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tags:
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- deberta-v3
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## Deberta for Named Entity Recognition
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pipeline_tag: token-classification
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tags:
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- deberta-v3
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datasets:
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- DFKI-SLT/few-nerd
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## Deberta for Named Entity Recognition
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