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:
- 0864ca05fb66a0a606ec6e9485b40623066496d6941bf0bd1441079217d593ee
- Size of remote file:
- 4.96 GB
- SHA256:
- 1ab60a4a8e9b7c943e360fcf40d4969727fb343ed9251ed602fed27f53fe4413
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