Instructions to use state-spaces/mamba2-370m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use state-spaces/mamba2-370m with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("state-spaces/mamba2-370m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from state-spaces/mamba2-370m: direct link, hf CLI and curl.
- Browser
- Download file 737 MB
-
https://huggingface.co/state-spaces/mamba2-370m/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://state-spaces/mamba2-370m/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/state-spaces/mamba2-370m/resolve/main/pytorch_model.bin
737 MB
- Xet hash:
- 6775f4db1a7413f20c3d5a9f16459b7f3b3f0c8b860ba214305fc6f7460d192f
- Size of remote file:
- 737 MB
- SHA256:
- a8b7f4790e02abc88301118b8559014a2d47222582289c93eeeab034ee8ca15d
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