Video-Text-to-Text
Transformers
Safetensors
English
qwen2_vl
image-text-to-text
multimodal
text-generation-inference
Instructions to use OpenGVLab/VideoChat-R1_7B_caption with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/VideoChat-R1_7B_caption with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("OpenGVLab/VideoChat-R1_7B_caption") model = AutoModelForMultimodalLM.from_pretrained("OpenGVLab/VideoChat-R1_7B_caption", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model-00004-of-00004.safetensors from OpenGVLab/VideoChat-R1_7B_caption: direct link, hf CLI and curl.
- Browser
- Download file 1.69 GB
-
https://huggingface.co/OpenGVLab/VideoChat-R1_7B_caption/resolve/main/model-00004-of-00004.safetensors
- Command line
-
hf download hf://OpenGVLab/VideoChat-R1_7B_caption/model-00004-of-00004.safetensors
-
curl -L -o model-00004-of-00004.safetensors https://huggingface.co/OpenGVLab/VideoChat-R1_7B_caption/resolve/main/model-00004-of-00004.safetensors
1.69 GB
- Xet hash:
- 0a3e41bdf4477bbd01d2e7e644db9c7ff3568f269e76f328b23dcb8235954523
- Size of remote file:
- 1.69 GB
- SHA256:
- 46ab1ff28218009abc7eb3500ee85feea64106ced8122cfb06794c1bb2f81a6c
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