Instructions to use Raiff1982/codette-newton-star-r with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Raiff1982/codette-newton-star-r with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Raiff1982/codette-llama-3.1-8b-merged") model = PeftModel.from_pretrained(base_model, "Raiff1982/codette-newton-star-r") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Raiff1982/codette-newton-star-r: direct link, hf CLI and curl.
- Browser
- Download file 6.42 kB
-
https://huggingface.co/Raiff1982/codette-newton-star-r/resolve/main/training_args.bin
- Command line
-
hf download hf://Raiff1982/codette-newton-star-r/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Raiff1982/codette-newton-star-r/resolve/main/training_args.bin
6.42 kB
- Xet hash:
- 0ce05d03669ce37cbe52aa56b7f65a7af6e5189332bb9483e2bd30af673f5264
- Size of remote file:
- 6.42 kB
- SHA256:
- 59eb48876a11203129b95c10a1eefb615b1d2f3250ef156bfa3e02719a35a218
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