Instructions to use i79t02/segformer-b0-scene-parse-150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use i79t02/segformer-b0-scene-parse-150 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("i79t02/segformer-b0-scene-parse-150") model = SegformerForSemanticSegmentation.from_pretrained("i79t02/segformer-b0-scene-parse-150", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from i79t02/segformer-b0-scene-parse-150: direct link, hf CLI and curl.
- Browser
- Download file 15.1 MB
-
https://huggingface.co/i79t02/segformer-b0-scene-parse-150/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://i79t02/segformer-b0-scene-parse-150/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/i79t02/segformer-b0-scene-parse-150/resolve/main/pytorch_model.bin
15.1 MB
- Xet hash:
- 4a1a23b35bf7b6a7a13fbc2dc44af1b6b59be5e8f85c0362ae38fe452ba46c9b
- Size of remote file:
- 15.1 MB
- SHA256:
- f1cc566bb3d90dc11a0050a3b27a37dff2c16fd23d22747a22801d772b8c9e9d
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