Instructions to use alphablyat/out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alphablyat/out with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "alphablyat/out") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b7b318f0f543b57a2cb10aeca7ae77aa75927714a480c4ed271f32600cde40b
- Size of remote file:
- 5.11 kB
- SHA256:
- c15f69d069bc9ce102a7c83dcafe77ed91ed29860e51b67d0986586c93d471ce
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.