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_5-2B_res448 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/VideoChat-Flash-Qwen2_5-2B_res448 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenGVLab/VideoChat-Flash-Qwen2_5-2B_res448", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from OpenGVLab/VideoChat-Flash-Qwen2_5-2B_res448: direct link, hf CLI and curl.
- Browser
- Download file 7.48 kB
-
https://huggingface.co/OpenGVLab/VideoChat-Flash-Qwen2_5-2B_res448/resolve/main/training_args.bin
- Command line
-
hf download hf://OpenGVLab/VideoChat-Flash-Qwen2_5-2B_res448/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/OpenGVLab/VideoChat-Flash-Qwen2_5-2B_res448/resolve/main/training_args.bin
7.48 kB
- Xet hash:
- d6934fb95e62199ed7c104965ca686173ceb3637c0440ff7c2cc63752477831c
- Size of remote file:
- 7.48 kB
- SHA256:
- b56ec34c18c9bbd191a2faf6892f9eb4c856cdec5d8b0fa05f54ad8da5d942f2
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