Instructions to use lorahub/flan_t5_large-web_questions_potential_correct_answer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lorahub/flan_t5_large-web_questions_potential_correct_answer 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, "lorahub/flan_t5_large-web_questions_potential_correct_answer") - Notebooks
- Google Colab
- Kaggle
Commit History
Upload adapter_model.bin with huggingface_hub 6c511d2
Upload adapter_config.json with huggingface_hub 884e302
Upload tokenizer_config.json with huggingface_hub 26f02a4
Upload README.md with huggingface_hub f7d4212
Upload special_tokens_map.json with huggingface_hub 0b493f6
initial commit 516afa9
Qian Liu commited on