Instructions to use state-spaces/mamba2-130m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use state-spaces/mamba2-130m with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("state-spaces/mamba2-130m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from state-spaces/mamba2-130m: direct link, hf CLI and curl.
- Browser
- Download file 258 MB
-
https://huggingface.co/state-spaces/mamba2-130m/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://state-spaces/mamba2-130m/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/state-spaces/mamba2-130m/resolve/main/pytorch_model.bin
258 MB
- Xet hash:
- cb257c10c0a07b29fe1e45b4b7eaeb3854e83ed9e2216f1f53363c5fa887b462
- Size of remote file:
- 258 MB
- SHA256:
- f786aff903d8b6f2cef67ff2b1db06a9f44e7780340e6ea6d3dead16b52fc501
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