Instructions to use TYTTYTTYT/zf_qwen3_vl_processor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TYTTYTTYT/zf_qwen3_vl_processor with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TYTTYTTYT/zf_qwen3_vl_processor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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add support for 2D video pooling
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update the processor to the working version for videomme
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change content mask type to bool
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add image and video chunk to each token chunk in the processor
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fix chunking error
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add prefill chunking
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remove useless logs
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update video processor params to the qwen3vl paper version
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change default fps to 1
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ignore type errors in the processing codes
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adapt to transformers==4.57.6
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adapt to transformers==4.57.6
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initial commit
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