Instructions to use hustvl/vitmatte-small-composition-1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hustvl/vitmatte-small-composition-1k with Transformers:
# Load model directly from transformers import AutoImageProcessor, VitMatteForImageMatting processor = AutoImageProcessor.from_pretrained("hustvl/vitmatte-small-composition-1k") model = VitMatteForImageMatting.from_pretrained("hustvl/vitmatte-small-composition-1k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f7d4caa90ceea291722f544951372473dda2af09ff5a4f33351863ed032a10b
- Size of remote file:
- 103 MB
- SHA256:
- 6ec6aed44bc8d8ab7f4d0ff46da3520a534cf5a97a8262404ff6efa9ae33b1e5
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