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_10-52-21_SH-IDC1-10-140-37-61 /events.out.tfevents.1743476078.SH-IDC1-10-140-37-61
- Xet hash:
- a52d317e5bbbc947e6d6d5ecf5e52ad0c8e877cbd4163a824a2ac38946e17afe
- Size of remote file:
- 1.97 MB
- SHA256:
- c6529fff229d354b34cf37616e63ae94dde628ab3942509c9625287ba3e05a19
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