Instructions to use ankitv42/NER_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ankitv42/NER_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ankitv42/NER_Model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ankitv42/NER_Model") model = AutoModelForTokenClassification.from_pretrained("ankitv42/NER_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd6ffaaab08abe09691692b510fb412053ed7f3bdcdb14ff3afe7dbc787794e4
- Size of remote file:
- 436 MB
- SHA256:
- ab23eb7d87ad1a29b39c0b467e8426578dd716df5f0e1a78e317189898264200
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