Instructions to use mfidabel/cn_sm_sam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mfidabel/cn_sm_sam with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mfidabel/cn_sm_sam", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download diffusion_flax_model.msgpack from mfidabel/cn_sm_sam: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/mfidabel/cn_sm_sam/resolve/main/diffusion_flax_model.msgpack
- Command line
-
hf download hf://mfidabel/cn_sm_sam/diffusion_flax_model.msgpack
-
curl -L -o diffusion_flax_model.msgpack https://huggingface.co/mfidabel/cn_sm_sam/resolve/main/diffusion_flax_model.msgpack
1.45 GB
- Xet hash:
- 52c24c4ee3caa83ef8ce180b97241c681e00c84568dc75a6cd50cca28d4eb7cc
- Size of remote file:
- 1.45 GB
- SHA256:
- 89920c7f319b830ee2321549de7bdef8c95804fe8d7f8be47220281e5f1d083a
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