Instructions to use AyoubChLin/qwen3-vl-8b-AgentInstruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyoubChLin/qwen3-vl-8b-AgentInstruct with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AyoubChLin/qwen3-vl-8b-AgentInstruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from AyoubChLin/qwen3-vl-8b-AgentInstruct: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/AyoubChLin/qwen3-vl-8b-AgentInstruct/resolve/main/tokenizer.json
- Command line
-
hf download hf://AyoubChLin/qwen3-vl-8b-AgentInstruct/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/AyoubChLin/qwen3-vl-8b-AgentInstruct/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 72381982403ec25a77e2da673a3e08e16561f0b3948cd5ee8daf3ba7f4d8dfa0
- Size of remote file:
- 11.4 MB
- SHA256:
- af560c5e5807192776a9f72a0ea33c9331816d9c59af61e02bdf766f8a2a97fb
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