Instructions to use state-spaces/mamba2-780m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use state-spaces/mamba2-780m with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("state-spaces/mamba2-780m", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 721b3f5d30cb6b8f9e59d43f06c2245120e1d04350639d8feab4b8b6c88240ba
- Size of remote file:
- 1.56 GB
- SHA256:
- a210e4df8109cde42c578c51576600e828b4a61205df16edeff300c308fa5680
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