Instructions to use lorahub/flan_t5_xl-sciq_Multiple_Choice_Question_First 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_Question_First 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_Question_First") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload adapter_config.json with huggingface_hub
5b3c04a -
Upload adapter_model.bin with huggingface_hub
7c94190 -
Upload README.md with huggingface_hub
8289f04 -
Upload tokenizer.json with huggingface_hub
2084523 -
Upload tokenizer_config.json with huggingface_hub
41a7d55 -
Upload special_tokens_map.json with huggingface_hub
7aa0e4a -
initial commit
fc7fe91