Instructions to use anwesham/indicbert_ur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anwesham/indicbert_ur with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="anwesham/indicbert_ur")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("anwesham/indicbert_ur") model = AutoModelForTokenClassification.from_pretrained("anwesham/indicbert_ur", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload tokenizer.json with git-lfs
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Upload trainer_state.json
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Upload special_tokens_map.json
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Upload spiece.model with git-lfs
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Upload tokenizer_config.json
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Upload pytorch_model.bin with git-lfs
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Upload config.json
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initial commit
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