Instructions to use Krishnaoak17/autoXae-beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Krishnaoak17/autoXae-beta 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-beta") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Krishnaoak17/autoXae-beta: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Krishnaoak17/autoXae-beta/resolve/main/training_args.bin
- Command line
-
hf download hf://Krishnaoak17/autoXae-beta/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Krishnaoak17/autoXae-beta/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 908bea312989f298c684a93bbb2c002d1d240fc1dbf57a61b9c078bbde69e3fe
- Size of remote file:
- 5.3 kB
- SHA256:
- 84b324632bf651ef3c70e0ee5789e362118f1c03fc42f02d6ad82811b9d5e35f
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