Instructions to use shaheen1998/segformer-b0-finetuned-segments-sidewalk-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shaheen1998/segformer-b0-finetuned-segments-sidewalk-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="shaheen1998/segformer-b0-finetuned-segments-sidewalk-2")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("shaheen1998/segformer-b0-finetuned-segments-sidewalk-2") model = SegformerForSemanticSegmentation.from_pretrained("shaheen1998/segformer-b0-finetuned-segments-sidewalk-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from shaheen1998/segformer-b0-finetuned-segments-sidewalk-2: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/shaheen1998/segformer-b0-finetuned-segments-sidewalk-2/resolve/main/training_args.bin
- Command line
-
hf download hf://shaheen1998/segformer-b0-finetuned-segments-sidewalk-2/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/shaheen1998/segformer-b0-finetuned-segments-sidewalk-2/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- 370c06e14942e3ababf961b7eac3016f49b921179cd3a87142c4a3ebaf691d8d
- Size of remote file:
- 3.44 kB
- SHA256:
- 8d84ce19d0bbfe999fe9dbe16179b415a1dedd36e1ec2430f1b499ba590303dd
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