Instructions to use mcfatbeard/flant5-large-aio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mcfatbeard/flant5-large-aio with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-large") model = PeftModel.from_pretrained(base_model, "mcfatbeard/flant5-large-aio") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b88f547fb0e3dedc14623e7699849faede80273c6a41c47b06eca3bf2bbe8e1
- Size of remote file:
- 9.48 MB
- SHA256:
- 171dec4342211d266bee25797e9f223c4e11ae6fee22bcd447876a82f18a20a2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.