Instructions to use torVik/Qwen2-VL-7B-Defects with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use torVik/Qwen2-VL-7B-Defects with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("torVik/Qwen2-VL-7B-Defects", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from torVik/Qwen2-VL-7B-Defects: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/torVik/Qwen2-VL-7B-Defects/resolve/main/tokenizer.json
- Command line
-
hf download hf://torVik/Qwen2-VL-7B-Defects/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/torVik/Qwen2-VL-7B-Defects/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- d1e46bfc094af17331de2116e8f85bdce41af6d075a66e7f449f4eab9df23dd5
- Size of remote file:
- 17.2 MB
- SHA256:
- bd134e96263fc971095dc5574ed0473c0e1d418df05fca3e97b4fe421e670db6
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