Text Generation
PEFT
Safetensors
p2
repository-library
research-library
section-to-algorithm
t3_pdf
text2text-generation
Instructions to use PeytonT/section-to-algorithm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PeytonT/section-to-algorithm 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/section-to-algorithm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d73cdfcb28c0eb82ad4479f478aa3c17f0c058b4cd17768af737d2f3fd717676
- Size of remote file:
- 3.56 MB
- SHA256:
- 3a49dc142a7f7ba0e96fda390491023ff4c5593dcdfda2022a599f22629cf8c2
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