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 training_args.bin from nommis/segformer-b0-scene-parse-150: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/nommis/segformer-b0-scene-parse-150/resolve/main/training_args.bin
- Command line
-
hf download hf://nommis/segformer-b0-scene-parse-150/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nommis/segformer-b0-scene-parse-150/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 93a950eae4242a1154f84edde72ab91f67cc2b1b23ebebcb755680a302866728
- Size of remote file:
- 4.03 kB
- SHA256:
- a9033f46bf09121f3f705ed19aabcc98fd3f16c8059ecf830220f6ef59825b17
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