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:
- 30ba6166202e2df84fefd51309282ee288a2e78d3d087b23d26067c9be3fac54
- Size of remote file:
- 1.7 GB
- SHA256:
- 9ecf2a1554afcb04721e4be8398d72ebbdc7428bcb29d4726734f1e63708287d
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