Instructions to use lorahub/flan_t5_large-adversarial_qa_dbidaf_question_context_answer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lorahub/flan_t5_large-adversarial_qa_dbidaf_question_context_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-adversarial_qa_dbidaf_question_context_answer") - Notebooks
- Google Colab
- Kaggle
Commit ·
cbb40ec
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Parent(s): e25ea02
Upload adapter_model.bin with huggingface_hub
Browse files- adapter_model.bin +3 -0
adapter_model.bin
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