Instructions to use lorahub/flan_t5_xl-sciq_Multiple_Choice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lorahub/flan_t5_xl-sciq_Multiple_Choice with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-xl") model = PeftModel.from_pretrained(base_model, "lorahub/flan_t5_xl-sciq_Multiple_Choice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ee0e841797c1b56d7dd5ec1dc5b4d4222b75e04e38ec80659ba3ffb9f51d3dc
- Size of remote file:
- 37.9 MB
- SHA256:
- 796b1a265324f03bba07e0fe610925c7e61792e5299ab780a5564f8a72c5d04f
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