Instructions to use nommis/segformer-b0-scene-parse-150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nommis/segformer-b0-scene-parse-150 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("nommis/segformer-b0-scene-parse-150") model = SegformerForSemanticSegmentation.from_pretrained("nommis/segformer-b0-scene-parse-150", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nommis/segformer-b0-scene-parse-150: direct link, hf CLI and curl.
- Browser
- Download file 15.1 MB
-
https://huggingface.co/nommis/segformer-b0-scene-parse-150/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nommis/segformer-b0-scene-parse-150/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nommis/segformer-b0-scene-parse-150/resolve/main/pytorch_model.bin
15.1 MB
- Xet hash:
- cae3e418da1be1600fb5dc0e800657b8da4550cbbf5913989f78d5927bc334db
- Size of remote file:
- 15.1 MB
- SHA256:
- 819f2e6f502b6d7c910a80568d86a1352ed8deb1f94806595109ae59dca753ec
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