Video-Text-to-Text
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
multimodal
text-generation-inference
Instructions to use OpenGVLab/VideoChat-R1_7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/VideoChat-R1_7B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("OpenGVLab/VideoChat-R1_7B") model = AutoModelForImageTextToText.from_pretrained("OpenGVLab/VideoChat-R1_7B") - Notebooks
- Google Colab
- Kaggle
VideoChat-R1_7B / runs /Apr01_10-41-52_SH-IDC1-10-140-37-61 /events.out.tfevents.1743475451.SH-IDC1-10-140-37-61
- Xet hash:
- fdcc3b18b53778299f7562a78ec907418175460f0bde13c7ab69407babe03d62
- Size of remote file:
- 9.44 kB
- SHA256:
- bd9f38eec15ef98c968fe13dd6230fd5dbf81ef17d7f62f1366c88eb0bf7a559
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