Instructions to use sayeed99/segformer-b2-human with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sayeed99/segformer-b2-human with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="sayeed99/segformer-b2-human")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("sayeed99/segformer-b2-human") model = SegformerForSemanticSegmentation.from_pretrained("sayeed99/segformer-b2-human", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sayeed99/segformer-b2-human: direct link, hf CLI and curl.
- Browser
- Download file 110 MB
-
https://huggingface.co/sayeed99/segformer-b2-human/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sayeed99/segformer-b2-human/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sayeed99/segformer-b2-human/resolve/main/pytorch_model.bin
110 MB
- Xet hash:
- d14852af0791e1fa44a790e633c366f1bb5e6c0aed14c32eb86b8e6d878898c4
- Size of remote file:
- 110 MB
- SHA256:
- 36d4e5e58b7edfd989a9c4bb892bbf45305b725db0f24b157ee85801c14634a1
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