Video-Text-to-Text
Transformers
Safetensors
English
videochat_flash_qwen
feature-extraction
multimodal
custom_code
Eval Results (legacy)
Instructions to use OpenGVLab/VideoChat-Flash-Qwen2-7B_res448 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/VideoChat-Flash-Qwen2-7B_res448 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenGVLab/VideoChat-Flash-Qwen2-7B_res448", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31db0ed13468c4f950bbaee4ad8a9389430eea7b7db716f4d9b3be7644aacdf0
- Size of remote file:
- 7.48 kB
- SHA256:
- b2f12f79eec2d962969efec171f9308759cc912df43b2cf0cfe38d68657bb993
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