Video-Text-to-Text
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
text-generation-inference
Instructions to use QiWang98/VideoRFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QiWang98/VideoRFT with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("QiWang98/VideoRFT") model = AutoModelForMultimodalLM.from_pretrained("QiWang98/VideoRFT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from QiWang98/VideoRFT: direct link, hf CLI and curl.
- Browser
- Download file 8.31 kB
-
https://huggingface.co/QiWang98/VideoRFT/resolve/main/training_args.bin
- Command line
-
hf download hf://QiWang98/VideoRFT/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/QiWang98/VideoRFT/resolve/main/training_args.bin
8.31 kB
- Xet hash:
- 67fee95a1b643ac0eb9cb3fffed20125a1ec432cb8800936fdb1b5ce8631caa7
- Size of remote file:
- 8.31 kB
- SHA256:
- b0738feb851fdb636d2b513d75ace80b1fed9596e900c1ef27ff0758fe531f80
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