Instructions to use hustvl/vitmatte-base-composition-1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hustvl/vitmatte-base-composition-1k with Transformers:
# Load model directly from transformers import AutoImageProcessor, VitMatteForImageMatting processor = AutoImageProcessor.from_pretrained("hustvl/vitmatte-base-composition-1k") model = VitMatteForImageMatting.from_pretrained("hustvl/vitmatte-base-composition-1k") - Notebooks
- Google Colab
- Kaggle
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Disclaimer: The team releasing ViTMatte did not write a model card for this model so this model card has been written by the Hugging Face team.
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# ViTMatte model
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ViTMatte model trained on Composition-1k. It was introduced in the paper [ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers](https://arxiv.org/abs/2305.15272) by Yao et al. and first released in [this repository](https://github.com/hustvl/ViTMatte).
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Disclaimer: The team releasing ViTMatte did not write a model card for this model so this model card has been written by the Hugging Face team.
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