Instructions to use IslemTouati/scene_segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IslemTouati/scene_segmentation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("IslemTouati/scene_segmentation") model = SegformerForSemanticSegmentation.from_pretrained("IslemTouati/scene_segmentation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from IslemTouati/scene_segmentation: direct link, hf CLI and curl.
- Browser
- Download file 15.3 MB
-
https://huggingface.co/IslemTouati/scene_segmentation/resolve/main/tf_model.h5
- Command line
-
hf download hf://IslemTouati/scene_segmentation/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/IslemTouati/scene_segmentation/resolve/main/tf_model.h5
15.3 MB
- Xet hash:
- e32eeb00a30c86316cb1acaba058fa68b195cfe5c49a0ab8378a9572f0452b3e
- Size of remote file:
- 15.3 MB
- SHA256:
- 58c169df518e8c1687522edc7f9df2dbcb4ef64062a488043ece2fbaaf106fad
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