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_5-7B_InternVideo2-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/VideoChat-Flash-Qwen2_5-7B_InternVideo2-1B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenGVLab/VideoChat-Flash-Qwen2_5-7B_InternVideo2-1B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1677e007fecaa7857a4af896c90730c3b83aa55f09e9015a3290d48823cb2f7
- Size of remote file:
- 7.48 kB
- SHA256:
- 4336e7371838ee34648b86476619bac8c30fde42527acd5069ab28f316670e27
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