Instructions to use kreyesp/upload_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kreyesp/upload_test with Transformers:
# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("kreyesp/upload_test") model = Mask2FormerForUniversalSegmentation.from_pretrained("kreyesp/upload_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6aebe71aa0f73b5c8a2b15b164f3684ae573cae250ecc2076fd5684c0903cc0a
- Size of remote file:
- 190 MB
- SHA256:
- 3edc7d9ebb2540ce25b05185e4a4e42f9c8f14ceb942f3083c1ab6b47d834b18
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