Instructions to use sagorsarker/mbert-bengali-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sagorsarker/mbert-bengali-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sagorsarker/mbert-bengali-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sagorsarker/mbert-bengali-ner") model = AutoModelForTokenClassification.from_pretrained("sagorsarker/mbert-bengali-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b76720246b948f4d642e2fcf3d45eb313285dc5873a0c0eb4b186ae12e7bec28
- Size of remote file:
- 667 MB
- SHA256:
- 1f5cdcbd9be9bf03764936528c700daee3b1d49c523c27c5d86dc484591e27f6
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