Video-Text-to-Text
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
text-generation-inference
Instructions to use QiWang98/VideoRFT-SFT-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QiWang98/VideoRFT-SFT-3B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("QiWang98/VideoRFT-SFT-3B") model = AutoModelForMultimodalLM.from_pretrained("QiWang98/VideoRFT-SFT-3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from QiWang98/VideoRFT-SFT-3B: direct link, hf CLI and curl.
- Browser
- Download file 7.74 kB
-
https://huggingface.co/QiWang98/VideoRFT-SFT-3B/resolve/f91e9189fd309e163f21e75fcb4b15827a921cce/training_args.bin
- Command line
-
hf download hf://QiWang98/VideoRFT-SFT-3B@f91e9189fd309e163f21e75fcb4b15827a921cce/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/QiWang98/VideoRFT-SFT-3B/resolve/f91e9189fd309e163f21e75fcb4b15827a921cce/training_args.bin
7.74 kB
- Xet hash:
- 7b0e10561e6056bb54a99076296e8b5dcc79539bf934c7a16a9ccff885fab395
- Size of remote file:
- 7.74 kB
- SHA256:
- 64fc00548fae49787e4a4a8ab3d30cd0969d89ba04c35052f1877728dffca74d
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