Instructions to use jm02/Llama-3.7B-Instruct-lora-JR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jm02/Llama-3.7B-Instruct-lora-JR with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jm02/Llama-3.7B-Instruct-lora-JR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from jm02/Llama-3.7B-Instruct-lora-JR: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/jm02/Llama-3.7B-Instruct-lora-JR/resolve/main/training_args.bin
- Command line
-
hf download hf://jm02/Llama-3.7B-Instruct-lora-JR/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jm02/Llama-3.7B-Instruct-lora-JR/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- f0bc437bef04274dae5d803b5515ec30b20a017c548dd16e764e13864544be63
- Size of remote file:
- 5.5 kB
- SHA256:
- 0f02f89051ba7d014ef239553f5be858e5abceb45fef3ac2630e9aceab93e421
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