Instructions to use nhat05trn/llawmaa3.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nhat05trn/llawmaa3.2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nhat05trn/llawmaa3.2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1792c7421e566297cff48d576c7119963b5977a732f00fde64dc887a194f52b7
- Size of remote file:
- 73.6 MB
- SHA256:
- 868082be5c6d46b074f82dbd4c04edd2f2b6884c55f56dc78eec927caa3d7e0e
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