Instructions to use Alignment-Lab-AI/AttourneyAtLam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Alignment-Lab-AI/AttourneyAtLam with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Open-Orca/OpenOrca-Preview1-13B") model = PeftModel.from_pretrained(base_model, "Alignment-Lab-AI/AttourneyAtLam") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Alignment-Lab-AI/AttourneyAtLam: direct link, hf CLI and curl.
- Browser
- Download file 26.3 MB
-
https://huggingface.co/Alignment-Lab-AI/AttourneyAtLam/resolve/refs%2Fpr%2F1/adapter_model.bin
- Command line
-
hf download hf://Alignment-Lab-AI/AttourneyAtLam@refs/pr/1/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Alignment-Lab-AI/AttourneyAtLam/resolve/refs%2Fpr%2F1/adapter_model.bin
26.3 MB
- Xet hash:
- 79de452a9984577c86d6e440a700a68e33c35f338e22222a162c1bae22d81e1b
- Size of remote file:
- 26.3 MB
- SHA256:
- ee873dcba4592cbe930fa73f24f9136dd7b5ff5bae6824d84653234441634063
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.