Instructions to use hugggin/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hugggin/results 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, "hugggin/results") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hugggin/results: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/hugggin/results/resolve/main/training_args.bin
- Command line
-
hf download hf://hugggin/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hugggin/results/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- be34c7e83d56318997a2d6ae5a797916a015075c94b11a59ac6e567632b4a750
- Size of remote file:
- 4.98 kB
- SHA256:
- fe811b3370a1c687671fcbabf446f89e66abbe1b9fa48f3c4e5f3293745115f2
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