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
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (f4d252c471fdb4d0babbbd6c39e4e6b8ac448a26)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8894d205c88db55f0824e08f8946bff0c93e0828945aa85646131e37df2c2ad2
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size 1200729608
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