Instructions to use oguz7/printerllama3.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use oguz7/printerllama3.1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "oguz7/printerllama3.1") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from oguz7/printerllama3.1: direct link, hf CLI and curl.
- Browser
- Download file 2.44 GB
-
https://huggingface.co/oguz7/printerllama3.1/resolve/main/adapter_model.bin
- Command line
-
hf download hf://oguz7/printerllama3.1/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/oguz7/printerllama3.1/resolve/main/adapter_model.bin
2.44 GB
- Xet hash:
- 9076fa22b9d41141108ee95f06f2637c3358da6dec7c782ffe137d7ca6d07d84
- Size of remote file:
- 2.44 GB
- SHA256:
- 190392b0b8c1495c5c2e16c75af9b1a980c7a64520359665948e4936b35df46e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.