Instructions to use sitatech/HPSv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sitatech/HPSv3 with Transformers:
# Load model directly from transformers import AutoProcessor, Qwen2VLRewardModelBT processor = AutoProcessor.from_pretrained("sitatech/HPSv3") model = Qwen2VLRewardModelBT.from_pretrained("sitatech/HPSv3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75ffe4192e1bb3f376fab30394ee56d255f32ad36fa7b938ed8c1e49ad00bb19
- Size of remote file:
- 4.93 GB
- SHA256:
- f7d099ed584301ad9789d48fe4c251e7012ebf544094fb0ca7648c361a054fe1
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