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:
- bcdcd4350d2592681a1d2bbc60c58518f4f75739c9b1f46eba922bbfef815d46
- Size of remote file:
- 4.66 kB
- SHA256:
- 60af8c235a4b4bf5ad16f784e6a5f10c1d291b849a5268e0fd86506cded08ba2
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