Video-Text-to-Text
Transformers
Safetensors
qwen2_5_vl
image-text-to-text
multimodal
agent
reinforcement-learning
text-generation-inference
Instructions to use Agents-X/PyVision-Video-7B-RL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Agents-X/PyVision-Video-7B-RL with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Agents-X/PyVision-Video-7B-RL") model = AutoModelForMultimodalLM.from_pretrained("Agents-X/PyVision-Video-7B-RL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Improve model card: add metadata and project links
Verified signatureHi! I'm Niels from the Hugging Face community science team. I've updated the model card for PyVision-Video-7B-RL to improve its discoverability and provide more context for researchers. This PR: - Adds `pipeline_tag: video-text-to-text` and `library_name: transformers` to the metadata. - Adds links to the GitHub repository and project page. - Provides a brief overview of the PyVision-RL framework and its application to video reasoning. Feel free to merge this to help users better understand and use the model!4c62d77
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