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/global_pool.png from TencentBAC/U-MARVEL-Qwen3VL-4B-Instruct: direct link, hf CLI and curl.
- Browser
- Download file 249 kB
-
https://huggingface.co/TencentBAC/U-MARVEL-Qwen3VL-4B-Instruct/resolve/main/figures/global_pool.png
- Command line
-
hf download hf://TencentBAC/U-MARVEL-Qwen3VL-4B-Instruct/figures/global_pool.png
-
curl -L -o global_pool.png https://huggingface.co/TencentBAC/U-MARVEL-Qwen3VL-4B-Instruct/resolve/main/figures/global_pool.png
249 kB

- Xet hash:
- ec97a79fdef6335831dc26de44178f7bb77f80b168847b9c370c5247c1ba49cb
- Size of remote file:
- 249 kB
- SHA256:
- 874e20812c2cf30356b21038fad7c69624d236d09f851ac7d78193799f63f851
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