Instructions to use hf-internal-testing/tiny-random-Mask2FormerForUniversalSegmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Mask2FormerForUniversalSegmentation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-Mask2FormerForUniversalSegmentation") model = Mask2FormerForUniversalSegmentation.from_pretrained("hf-internal-testing/tiny-random-Mask2FormerForUniversalSegmentation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-Mask2FormerForUniversalSegmentation: direct link, hf CLI and curl.
- Browser
- Download file 47.4 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-Mask2FormerForUniversalSegmentation/resolve/b2dad80baf6a822e388a8eed2bc671e980fabcf4/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-Mask2FormerForUniversalSegmentation@b2dad80baf6a822e388a8eed2bc671e980fabcf4/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-Mask2FormerForUniversalSegmentation/resolve/b2dad80baf6a822e388a8eed2bc671e980fabcf4/pytorch_model.bin
47.4 MB
- Xet hash:
- 527731da0d0076428a58847953b4566a1dc59e467837505e54973c86c2e65c90
- Size of remote file:
- 47.4 MB
- SHA256:
- a9b4954ba7a86a160ee9e830d3768e2bdd8027f3f44108d3052494fa696e07bb
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