Instructions to use zera09/llama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zera09/llama with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zera09/llama", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from zera09/llama: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/zera09/llama/resolve/main/training_args.bin
- Command line
-
hf download hf://zera09/llama/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/zera09/llama/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- 9c7008ee85ed1e12b487d0603e1c21042e7174e166e698c3bc2731a55fd841ad
- Size of remote file:
- 5.56 kB
- SHA256:
- b634d9a5a8d93a4899061081cfc1904eaf82b54cabe9ff402440ff354c8fb065
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