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
- Xet hash:
- 54b1c19f2dd274dfcefebbbffed490afa4cd763c22ac6fe11df0badc0da91c01
- Size of remote file:
- 3.9 kB
- SHA256:
- 982366678347f8a227e12a816ed7a500bff8f764c47bbc153384c9652be3091f
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