Instructions to use capofwesh20/my-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use capofwesh20/my-segmentation-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("capofwesh20/my-segmentation-model") model = SegformerForSemanticSegmentation.from_pretrained("capofwesh20/my-segmentation-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from capofwesh20/my-segmentation-model: direct link, hf CLI and curl.
- Browser
- Download file 15.1 MB
-
https://huggingface.co/capofwesh20/my-segmentation-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://capofwesh20/my-segmentation-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/capofwesh20/my-segmentation-model/resolve/main/pytorch_model.bin
15.1 MB
- Xet hash:
- 62d844e73fac6dc1c099e214c00c8c1df0af161cf2a734df0c8affc9ff2bd6b8
- Size of remote file:
- 15.1 MB
- SHA256:
- 1247ab21275f0c8ac1304e755d70794d7b7dd094ef46d00a7d567c48da7eea52
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