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:
- 318348c18e9db52bb8a7242a20f882140f01962c6a9a1795d8e636706012e1b8
- Size of remote file:
- 11.4 MB
- SHA256:
- 5a83f02ca9a9ad913ce97767ec3172a3b68ff6700ab55a81c99d29cc6cf78195
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