Instructions to use Rimyy/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rimyy/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.1-GPTQ") model = PeftModel.from_pretrained(base_model, "Rimyy/results") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Rimyy/results: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/Rimyy/results/resolve/main/training_args.bin
- Command line
-
hf download hf://Rimyy/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Rimyy/results/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 7900d5a66755c7fb2c1332bd0dccf698cd63e98caa72c37c29434dfbbd8162ab
- Size of remote file:
- 5.11 kB
- SHA256:
- 83a58a719be9b52baadb005e92cf9bf6df50b791b722d8d295d6899a82c35bff
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