Instructions to use cjensen/my-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cjensen/my-segmentation-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("cjensen/my-segmentation-model") model = SegformerForSemanticSegmentation.from_pretrained("cjensen/my-segmentation-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from cjensen/my-segmentation-model: direct link, hf CLI and curl.
- Browser
- Download file 14.9 MB
-
https://huggingface.co/cjensen/my-segmentation-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://cjensen/my-segmentation-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cjensen/my-segmentation-model/resolve/main/pytorch_model.bin
14.9 MB
- Xet hash:
- 6a6b085b856377e9f0f9cf8a6ff7c3e9267b1f372b962a6fce2acc68d4728c4e
- Size of remote file:
- 14.9 MB
- SHA256:
- 3e1999489b0371b5f58f8e52099628814b37acda9c340b65c3e6af6c0561d366
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