Instructions to use Krishnaoak17/autoXae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Krishnaoak17/autoXae with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("01-ai/Yi-Coder-1.5B") model = PeftModel.from_pretrained(base_model, "Krishnaoak17/autoXae") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Krishnaoak17/autoXae: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Krishnaoak17/autoXae/resolve/main/training_args.bin
- Command line
-
hf download hf://Krishnaoak17/autoXae/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Krishnaoak17/autoXae/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- adcb83b16110e7da4883027946250b44f2f6b878db85d329490a3043484e5183
- Size of remote file:
- 5.3 kB
- SHA256:
- 038e72588ac59fb658bec1ff0b6b93655873792abefb9e426cb172a3102e9f3f
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