Instructions to use anrilombard/ssm-100m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MambaSSM
How to use anrilombard/ssm-100m with MambaSSM:
from mamba_ssm import MambaLMHeadModel model = MambaLMHeadModel.from_pretrained("anrilombard/ssm-100m") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from anrilombard/ssm-100m: direct link, hf CLI and curl.
- Browser
- Download file 379 MB
-
https://huggingface.co/anrilombard/ssm-100m/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://anrilombard/ssm-100m/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/anrilombard/ssm-100m/resolve/main/pytorch_model.bin
379 MB
- Xet hash:
- f23ee220f48b2d7c7d898f89a0b37752818bcf39e9b0af140784d0d79d988062
- Size of remote file:
- 379 MB
- SHA256:
- 68f91956630e94ded3fe291537bcdbda7013cb38f484d246ea8a640465afffaa
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