Video-Text-to-Text
Transformers
Safetensors
English
qwen2
feature-extraction
multimodal
custom_code
Eval Results (legacy)
text-generation-inference
Instructions to use OpenGVLab/VideoChat-Flash-Qwen2_5-7B-1M_res224 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-1M_res224 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("OpenGVLab/VideoChat-Flash-Qwen2_5-7B-1M_res224", trust_remote_code=True) model = AutoModel.from_pretrained("OpenGVLab/VideoChat-Flash-Qwen2_5-7B-1M_res224", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from OpenGVLab/VideoChat-Flash-Qwen2_5-7B-1M_res224: direct link, hf CLI and curl.
- Browser
- Download file 7.48 kB
-
https://huggingface.co/OpenGVLab/VideoChat-Flash-Qwen2_5-7B-1M_res224/resolve/main/training_args.bin
- Command line
-
hf download hf://OpenGVLab/VideoChat-Flash-Qwen2_5-7B-1M_res224/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/OpenGVLab/VideoChat-Flash-Qwen2_5-7B-1M_res224/resolve/main/training_args.bin
7.48 kB
- Xet hash:
- c063aec964fa6bb49dc2f9c3b2a9475ab4a416f2131eb1147b5a8784ce0337b7
- Size of remote file:
- 7.48 kB
- SHA256:
- 9dfde6f457ace0f885df2e53c181c2f37b8284bed7b12d02ce17c65615a1e7bf
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