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")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RashidNLP/NER-Deberta") model = AutoModelForTokenClassification.from_pretrained("RashidNLP/NER-Deberta") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9ee3e8adb261ff11c2e1d29ef4aa4991626b6e6df54817a36b24c9be0ef5a56a
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size 735382460
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