Instructions to use cmhong68/medSAM_skin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cmhong68/medSAM_skin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="cmhong68/medSAM_skin")# Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("cmhong68/medSAM_skin") model = AutoModelForMaskGeneration.from_pretrained("cmhong68/medSAM_skin", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from cmhong68/medSAM_skin: direct link, hf CLI and curl.
- Browser
- Download file 375 MB
-
https://huggingface.co/cmhong68/medSAM_skin/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://cmhong68/medSAM_skin/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cmhong68/medSAM_skin/resolve/main/pytorch_model.bin
375 MB
- Xet hash:
- 7a355129a95e15328c3ea8831d64b5b057748eba05548f7eb6959a5535d63d87
- Size of remote file:
- 375 MB
- SHA256:
- 0ef67838fba16f16c0e308eaf7a3ae6fbf4fe8e13d7a120ca932671ed9c47db0
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