Instructions to use Blessing988/Qwen3-VL-4B-Instruct-trl-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Blessing988/Qwen3-VL-4B-Instruct-trl-sft with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Blessing988/Qwen3-VL-4B-Instruct-trl-sft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Blessing988/Qwen3-VL-4B-Instruct-trl-sft: direct link, hf CLI and curl.
- Browser
- Download file 6.29 kB
-
https://huggingface.co/Blessing988/Qwen3-VL-4B-Instruct-trl-sft/resolve/main/training_args.bin
- Command line
-
hf download hf://Blessing988/Qwen3-VL-4B-Instruct-trl-sft/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Blessing988/Qwen3-VL-4B-Instruct-trl-sft/resolve/main/training_args.bin
6.29 kB
- Xet hash:
- 06baf22f8007f9db6ed484de2b48d2beb919c4725cb76050a0ca24ec7ab22af2
- Size of remote file:
- 6.29 kB
- SHA256:
- 0b560bab8fca759e550cace3b8cb7839931e0fd6cf3a2a6fe095c2f31951d7c3
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