Instructions to use Suchandra/bengali_language_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Suchandra/bengali_language_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Suchandra/bengali_language_NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Suchandra/bengali_language_NER") model = AutoModelForTokenClassification.from_pretrained("Suchandra/bengali_language_NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (1ef6838edb59d3b3f7c56dc380576bfee1faa4f4) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>8066754
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Adding the tokenizer
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add model
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initial commit
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