Instructions to use Nhawtanhy1111/M5_DPO_CodeLlama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Nhawtanhy1111/M5_DPO_CodeLlama with PEFT:
Task type is invalid.
- Transformers
How to use Nhawtanhy1111/M5_DPO_CodeLlama with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Nhawtanhy1111/M5_DPO_CodeLlama", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download example_pool.pkl from Nhawtanhy1111/M5_DPO_CodeLlama: direct link, hf CLI and curl.
- Browser
- Download file 4.84 MB
-
https://huggingface.co/Nhawtanhy1111/M5_DPO_CodeLlama/resolve/main/example_pool.pkl
- Command line
-
hf download hf://Nhawtanhy1111/M5_DPO_CodeLlama/example_pool.pkl
-
curl -L -o example_pool.pkl https://huggingface.co/Nhawtanhy1111/M5_DPO_CodeLlama/resolve/main/example_pool.pkl
4.84 MB
- Xet hash:
- caf4ac59a61534e269796734bd94dcfb819e2d88ace0f68c23384226ba5a3457
- Size of remote file:
- 4.84 MB
- SHA256:
- 7afebb83891ec1bd9ef119860855d6b881acfc588a265621e225d9fa7e402158
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