Video-Text-to-Text
Transformers
Safetensors
English
videochat_flash_qwen
feature-extraction
multimodal
custom_code
Eval Results (legacy)
Instructions to use MInference/videochat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MInference/videochat with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MInference/videochat", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29321c1efb1d75e3bb82fdd692b03a5bde25f4733b391168c5ba5fad4b0ab629
- Size of remote file:
- 4.14 GB
- SHA256:
- 8d7599e40867eaac136fffa154b070c71aa22bc73b3c1ceece1dcb094f70b475
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