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:
- 4672cb1f770921385fec0310ceae3565b8edc303a0e186bd24bcf0e53b1723e7
- Size of remote file:
- 9.54 MB
- SHA256:
- 234cbf059ecf54c78b8fd9b685e780e364482a421e2f768b7481eb7bb170550b
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