Instructions to use Badribn/sarvam_instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Badribn/sarvam_instruct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Badribn/sarvam_instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b85f7673498108134926daa07f436b9e7b5f277e7852e4d4d7baad40d3d7b8f
- Size of remote file:
- 1.94 MB
- SHA256:
- 4cd33409a577e8b416247587b0f5bd7a3eec245a1f18d4ec7793ff299ad3fbe2
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