Instructions to use Kwai-Keye/Keye-VL-8B-Preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kwai-Keye/Keye-VL-8B-Preview with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Kwai-Keye/Keye-VL-8B-Preview", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Improve model card: update pipeline tag, add abstract, and code link
Verified signatureThis PR significantly enhances the model card for Kwai Keye-VL by: * **Updating the `pipeline_tag`**: Changed from `image-text-to-text` to `video-text-to-text`. This change accurately reflects the model's primary strength and focus on video understanding, as highlighted in the paper's abstract and experimental results. This will improve its discoverability for users searching for video-capable models on the Hub. * **Adding the paper abstract**: The full abstract from the technical report has been added to provide a comprehensive overview of the model's capabilities, development, and innovative training recipe directly on the model page. * **Including a direct code link**: A link to the official GitHub repository (`https://github.com/Kwai-Keye/Keye`) has been added to the top navigation bar for easier access to the model's codebase and utilities. * **Updating the citation**: The BibTeX entry has been updated to the more complete version found in the official GitHub repository, …dbb69f7
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upload modeling_keye.py to support non-flash inference
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fix preprocessor
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