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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenGVLab/VideoChat-Flash-Qwen2-7B_res448", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from OpenGVLab/VideoChat-Flash-Qwen2-7B_res448: direct link, hf CLI and curl.
- Browser
- Download file 7.03 MB
-
https://huggingface.co/OpenGVLab/VideoChat-Flash-Qwen2-7B_res448/resolve/main/tokenizer.json
- Command line
-
hf download hf://OpenGVLab/VideoChat-Flash-Qwen2-7B_res448/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/OpenGVLab/VideoChat-Flash-Qwen2-7B_res448/resolve/main/tokenizer.json
7.03 MB
File too large to display, you can check the raw version instead.