Instructions to use lorahub/flan_t5_large-quail_description_context_question_answer_text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lorahub/flan_t5_large-quail_description_context_question_answer_text 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-quail_description_context_question_answer_text") - Notebooks
- Google Colab
- Kaggle
Commit History
Upload adapter_model.bin with huggingface_hub 29a085f
Upload adapter_config.json with huggingface_hub 7865a4b
Upload tokenizer_config.json with huggingface_hub 572f983
Upload README.md with huggingface_hub 91ce3b3
Upload special_tokens_map.json with huggingface_hub fc8fb25
initial commit 55d7f09
Qian Liu commited on