Instructions to use PierreMaxime/llama3fine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PierreMaxime/llama3fine with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "PierreMaxime/llama3fine") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from PierreMaxime/llama3fine: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/PierreMaxime/llama3fine/resolve/main/training_args.bin
- Command line
-
hf download hf://PierreMaxime/llama3fine/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/PierreMaxime/llama3fine/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 72c0e56ce79fb32de1155d3fcd0764cc6d61e83cdb0df098e5cb72fe20440d06
- Size of remote file:
- 5.11 kB
- SHA256:
- 86040bc8b9e3f45a8297b0ebadb8d9a02a906785c748c8a57563ee91334fb91b
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