Instructions to use djinnn/Bhasa-Translator-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use djinnn/Bhasa-Translator-Model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("djinnn/Bhasa-Translator-Model") model = AutoModelForSeq2SeqLM.from_pretrained("djinnn/Bhasa-Translator-Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (f4d252c471fdb4d0babbbd6c39e4e6b8ac448a26) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>2a4de1f
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LFS assets
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checkin non-LFS files
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added README
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initial commit
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