Instructions to use Linsad/cccc1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Linsad/cccc1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Linsad/cccc1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download quantization.py from Linsad/cccc1: direct link, hf CLI and curl.
- Browser
- Download file 2.61 MB
-
https://huggingface.co/Linsad/cccc1/resolve/refs%2Fpr%2F1/quantization.py
- Command line
-
hf download hf://Linsad/cccc1@refs/pr/1/quantization.py
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curl -L -o quantization.py https://huggingface.co/Linsad/cccc1/resolve/refs%2Fpr%2F1/quantization.py
2.61 MB
File too large to display, you can check the raw version instead.