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:
- 1ca9283d770e01b6506f60acd58dbaf463768b88808175ec54e2ce7011283816
- Size of remote file:
- 9.48 MB
- SHA256:
- bc207d4877484f142996be9291dc450eadff784991c537ea3ee1a8bda270067e
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