Video-Text-to-Text
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
multimodal
text-generation-inference
Instructions to use OpenGVLab/VideoChat-R1_5-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/VideoChat-R1_5-7B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("OpenGVLab/VideoChat-R1_5-7B") model = AutoModelForImageTextToText.from_pretrained("OpenGVLab/VideoChat-R1_5-7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- befc586b45642c01c575a3b2503f5c246c0653a5fd6408e702472193dd4f7207
- Size of remote file:
- 4.93 GB
- SHA256:
- 0f942d69cf804de72d2763a20bf7327486c27fabe860d48592311ea48ddcadb5
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