Instructions to use btmiller/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use btmiller/output with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/flan-t5-small") model = PeftModel.from_pretrained(base_model, "btmiller/output") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5791730e4bbd0e5aa182b220d59bc0d793a89f3dfdd4f44b0dae564d8168add3
- Size of remote file:
- 4.86 kB
- SHA256:
- 0e512cd44318bb0e4a5026282637c794412a216ceff088fbea80b0a68043b246
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.