Instructions to use bburns/my-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bburns/my-segmentation-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("bburns/my-segmentation-model") model = SegformerForSemanticSegmentation.from_pretrained("bburns/my-segmentation-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from bburns/my-segmentation-model: direct link, hf CLI and curl.
- Browser
- Download file 15.1 MB
-
https://huggingface.co/bburns/my-segmentation-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://bburns/my-segmentation-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/bburns/my-segmentation-model/resolve/main/pytorch_model.bin
15.1 MB
- Xet hash:
- 97b896bf672a91db329dd03b56208e8d6f9a9c369947d838aa6b47bac0282fe2
- Size of remote file:
- 15.1 MB
- SHA256:
- aecf24b346da91cd8cb55bb57158224fcf2ec49f6fddfeab56c6e38d1f39cef7
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