Instructions to use DJseo/Llama3_CAPL_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DJseo/Llama3_CAPL_Model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DJseo/Llama3_CAPL_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DJseo/Llama3_CAPL_Model: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/DJseo/Llama3_CAPL_Model/resolve/main/training_args.bin
- Command line
-
hf download hf://DJseo/Llama3_CAPL_Model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DJseo/Llama3_CAPL_Model/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- b6287cec448fe2997b6b5d6f718d1272f6b7482bb74caae0d98b4fac3b5dbfe0
- Size of remote file:
- 5.62 kB
- SHA256:
- 5b5ece727daad6f5cb0dc0648433f637d631151121ee24a4d224329c4e508f96
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