Instructions to use haji80mr-uoft/Llama-3.2-3B-Instruct-separate-hindi-lm-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haji80mr-uoft/Llama-3.2-3B-Instruct-separate-hindi-lm-only with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("haji80mr-uoft/Llama-3.2-3B-Instruct-separate-hindi-lm-only", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e008aedbdfeb04e26fe921fbf796f93839e2f5f773f9687c610ee649253cd86
- Size of remote file:
- 294 MB
- SHA256:
- a5bd6c9f5550366c6209b6139341c8c08b8277d23ba812d203dd2d733205c3fe
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