Instructions to use bigcode/astraios-1b-adapterp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bigcode/astraios-1b-adapterp with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "bigcode/astraios-1b-adapterp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5e586223f9aff3bcbecd8a6193da891fe93244c1b0e0da7919cb38909512deb
- Size of remote file:
- 101 MB
- SHA256:
- 4ca0fb9792f877fa314e69061ef35435b953e8b03ba8cfd758fa7a4b10cc916c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.