Instructions to use jordinia/NetPro-Qwen3-0.6B-ClfC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jordinia/NetPro-Qwen3-0.6B-ClfC with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jordinia/NetPro-Qwen3-0.6B-ClfC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from jordinia/NetPro-Qwen3-0.6B-ClfC: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/jordinia/NetPro-Qwen3-0.6B-ClfC/resolve/main/tokenizer.json
- Command line
-
hf download hf://jordinia/NetPro-Qwen3-0.6B-ClfC/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/jordinia/NetPro-Qwen3-0.6B-ClfC/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 57c2f18764ee6bee8a3c5ec5135d39577c7fb0ff9b46c87d195c99e6fb3879e5
- Size of remote file:
- 11.4 MB
- SHA256:
- f8117fc63b5f77f5c693219797c9eeec98d72917df326f7afa342e520e752f28
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