Instructions to use bigcode/astraios-adapterh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bigcode/astraios-adapterh with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase") model = PeftModel.from_pretrained(base_model, "bigcode/astraios-adapterh") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3381f1385c823b235fbda011605705d74ce811dfc4465a74432e6407f7277d42
- Size of remote file:
- 1.01 GB
- SHA256:
- f966ec06c2dde26b8836ac33f91d15b4342abbe799aaa8d9e868f7eefd8b454a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.