Instructions to use TencentBAC/U-MARVEL-Qwen3VL-4B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TencentBAC/U-MARVEL-Qwen3VL-4B-Instruct with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSeq2SeqLM processor = AutoProcessor.from_pretrained("TencentBAC/U-MARVEL-Qwen3VL-4B-Instruct") model = AutoModelForSeq2SeqLM.from_pretrained("TencentBAC/U-MARVEL-Qwen3VL-4B-Instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download figures/zero_shot_video.png from TencentBAC/U-MARVEL-Qwen3VL-4B-Instruct: direct link, hf CLI and curl.
- Browser
- Download file 214 kB
-
https://huggingface.co/TencentBAC/U-MARVEL-Qwen3VL-4B-Instruct/resolve/main/figures/zero_shot_video.png
- Command line
-
hf download hf://TencentBAC/U-MARVEL-Qwen3VL-4B-Instruct/figures/zero_shot_video.png
-
curl -L -o zero_shot_video.png https://huggingface.co/TencentBAC/U-MARVEL-Qwen3VL-4B-Instruct/resolve/main/figures/zero_shot_video.png
214 kB

- Xet hash:
- 66f2745d9fed107ca3e23b2ec3bb47c6cbe66db7a3c76dbb1189274cd5bf1fce
- Size of remote file:
- 214 kB
- SHA256:
- f7e5b410d5012ad60f557892bbaa85210803bb6cd523398f2ab805187b58ee03
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