Instructions to use Saucystream/Qwen_corrector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Saucystream/Qwen_corrector with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Saucystream/Qwen_corrector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Saucystream/Qwen_corrector: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Saucystream/Qwen_corrector/resolve/main/tokenizer.json
- Command line
-
hf download hf://Saucystream/Qwen_corrector/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Saucystream/Qwen_corrector/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- b49033a91e437ff134e7f583b46b1b40af990d40730017335fa36da5103792eb
- Size of remote file:
- 11.4 MB
- SHA256:
- b80d4905a575c07711ba1495b993d446ebc8ccaf193fe31ae151ff4550ee2c19
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