Instructions to use anisub/my-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anisub/my-segmentation-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("anisub/my-segmentation-model") model = SegformerForSemanticSegmentation.from_pretrained("anisub/my-segmentation-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from anisub/my-segmentation-model: direct link, hf CLI and curl.
- Browser
- Download file 14.9 MB
-
https://huggingface.co/anisub/my-segmentation-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://anisub/my-segmentation-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/anisub/my-segmentation-model/resolve/main/pytorch_model.bin
14.9 MB
- Xet hash:
- 190731f2a56d0ad5878fa4a13209b260f12b5df67cd52b9cdc995ac4b304a998
- Size of remote file:
- 14.9 MB
- SHA256:
- 10ab3022815c718191e79715dc8edfbaba686e24f80374b618a6db6f43775dba
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