Instructions to use AuraRuby/ARIA_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AuraRuby/ARIA_v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Locutusque/TinyMistral-248M") model = PeftModel.from_pretrained(base_model, "AuraRuby/ARIA_v1") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AuraRuby/ARIA_v1: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/AuraRuby/ARIA_v1/resolve/main/training_args.bin
- Command line
-
hf download hf://AuraRuby/ARIA_v1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AuraRuby/ARIA_v1/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 669a7cc3560c27391357b6003b0b79ba8e71faad4d8f9712c0ac1967dbbcbe82
- Size of remote file:
- 4.66 kB
- SHA256:
- 3947f20157d86d89a0e6c94b7825def1fc351f1b2a7ec448d0fe5b0f55b61085
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