Instructions to use lorahub/flan_t5_large-quail_context_question_answer_description_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_context_question_answer_description_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_context_question_answer_description_text") - Notebooks
- Google Colab
- Kaggle
Commit History
Upload adapter_model.bin with huggingface_hub 98a6fb5
Upload adapter_config.json with huggingface_hub 9ea888c
Upload tokenizer_config.json with huggingface_hub db7d1d8
Upload README.md with huggingface_hub 2ebbd81
Upload special_tokens_map.json with huggingface_hub 94117f2
initial commit b722c95
Qian Liu commited on