Instructions to use bigcode/astraios-1b-ptuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bigcode/astraios-1b-ptuning 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-ptuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9589cd1a5e62cc2856761fb5033a777c0aef52fc3a52bac52e0e4d2c5625489f
- Size of remote file:
- 247 kB
- SHA256:
- 7db865b3446e70099b37e0afdf8f4adbf6494d0beb8a8345d27592a3de505531
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.