Instructions to use glenn2/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use glenn2/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "glenn2/outputs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31e061a52ad58fb890fdc730edc3e4fa30ca4be38c2aa56d7755779bde5e33b0
- Size of remote file:
- 4.86 kB
- SHA256:
- 7f56e2c9bcc5306ef6e7c9453efe5f42321214e9e04eae1fc2fb7efae116190c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.