Instructions to use Transformers123/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Transformers123/test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Transformers123/test") model = SegformerForSemanticSegmentation.from_pretrained("Transformers123/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Transformers123/test: direct link, hf CLI and curl.
- Browser
- Download file 14.9 MB
-
https://huggingface.co/Transformers123/test/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Transformers123/test/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Transformers123/test/resolve/main/pytorch_model.bin
14.9 MB
- Xet hash:
- 4046187d53b0ab6399606d668fac0955d85049d16f6b9d92df8bb577f0ed8c76
- Size of remote file:
- 14.9 MB
- SHA256:
- 395fa3ca64e092ddef05b7cecf069d7ec5e169a4aecf7026c3e167e7e7cc2340
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