Instructions to use DavideZanutto/llama3-finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DavideZanutto/llama3-finetuning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "DavideZanutto/llama3-finetuning") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DavideZanutto/llama3-finetuning: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/DavideZanutto/llama3-finetuning/resolve/main/training_args.bin
- Command line
-
hf download hf://DavideZanutto/llama3-finetuning/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DavideZanutto/llama3-finetuning/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 8feeb586a2bae7f13a3f20e218a518ec01b1b9f54d915160764ce84f2ebea850
- Size of remote file:
- 4.73 kB
- SHA256:
- 0e27b311ca5a16e1e272bbd877158b588b31b0f180b92e45295420cbd11d5a98
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