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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("OpenGVLab/VideoChat-R1_7B") model = AutoModelForMultimodalLM.from_pretrained("OpenGVLab/VideoChat-R1_7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from OpenGVLab/VideoChat-R1_7B: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/OpenGVLab/VideoChat-R1_7B/resolve/main/vocab.json
- Command line
-
hf download hf://OpenGVLab/VideoChat-R1_7B/vocab.json
-
curl -L -o vocab.json https://huggingface.co/OpenGVLab/VideoChat-R1_7B/resolve/main/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.