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:
- 27355b8a3a315994832c296fc8cb90d3a6ec444e612658cbd5b9f6bde06f8aad
- Size of remote file:
- 4.99 GB
- SHA256:
- 052c82bfc165e0d04a0b1fd5f1320eeac054f819d6fe38de704e7053acf0b9a4
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