Instructions to use lorahub/flan_t5_large-adversarial_qa_dbert_based_on 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_dbert_based_on 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_dbert_based_on") - Notebooks
- Google Colab
- Kaggle
Commit History
Upload adapter_model.bin with huggingface_hub df77a8a
Upload adapter_config.json with huggingface_hub 8fc8f8e
Upload tokenizer_config.json with huggingface_hub 8eb38a0
Upload README.md with huggingface_hub 379aba5
Upload special_tokens_map.json with huggingface_hub 6d63eee
initial commit e03f3b4
Qian Liu commited on