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:
- 3617c729795f83198a3e61c8d29116a442567c1d222335479716df1d1c3ffe83
- Size of remote file:
- 5.84 kB
- SHA256:
- 485f1d893f43aa4c4cf8db633d3e9c35875b316cf3bcb7c17fb691a363f68297
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