Instructions to use Transformers123/testing_101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Transformers123/testing_101 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Transformers123/testing_101") model = SegformerForSemanticSegmentation.from_pretrained("Transformers123/testing_101", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Transformers123/testing_101: direct link, hf CLI and curl.
- Browser
- Download file 110 MB
-
https://huggingface.co/Transformers123/testing_101/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Transformers123/testing_101/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Transformers123/testing_101/resolve/main/pytorch_model.bin
110 MB
- Xet hash:
- 172457c9eb737add920c6df844c97a6757bba30426d162f728bf413d17d1cd32
- Size of remote file:
- 110 MB
- SHA256:
- 5261bdcc009ac6a1138e01f71bbc2da3fe8546ad35983c5354621c35a9e917ae
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