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:
- 01284d62ef72667ef0dcaa6aaf45b675a57515187796d728661cc9549f24b9c5
- Size of remote file:
- 2.42 kB
- SHA256:
- e067d6e545a7da36bbbb792e004d1b4d68eac0bc82cc3bb3be58fe8e589dce65
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