Instructions to use AndreCosta/resnet-unet-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndreCosta/resnet-unet-segmentation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="AndreCosta/resnet-unet-segmentation")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AndreCosta/resnet-unet-segmentation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download DataSet/annotations/classes.txt from AndreCosta/resnet-unet-segmentation: direct link, hf CLI and curl.
- Browser
- Download file 21 Bytes
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https://huggingface.co/AndreCosta/resnet-unet-segmentation/resolve/main/DataSet/annotations/classes.txt
- Command line
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hf download hf://AndreCosta/resnet-unet-segmentation/DataSet/annotations/classes.txt
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curl -L -o classes.txt https://huggingface.co/AndreCosta/resnet-unet-segmentation/resolve/main/DataSet/annotations/classes.txt
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