Text Generation
PEFT
Safetensors
p5
paper-qa
papers
question-answering
repository-library
research-library
scientific-papers
t3_pdf
text2text-generation
Instructions to use PeytonT/paper-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PeytonT/paper-qa with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base") model = PeftModel.from_pretrained(base_model, "PeytonT/paper-qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e62ff3672ec0a68e0089d36bf79570eb1659b863a44b95d613939a12b43bb7c2
- Size of remote file:
- 5.84 kB
- SHA256:
- 06b559c7acf20c97bc1ac29bb54dc8c8b0591f89c046195b4d1d93c4320c9ed3
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