Text Generation
PEFT
Safetensors
c1
paper-to-code
papers
repository-library
research-library
scientific-papers
t5_cross
text2text-generation
Instructions to use PeytonT/paper-to-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PeytonT/paper-to-code 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-to-code") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26960e51c36419a1f2ccf1f3143df7e71a87c5204015e777ac84c36d5b9399fe
- Size of remote file:
- 5.84 kB
- SHA256:
- c47a4e2c3ae6951d1dc57dc8db8bf067afe2ce5ba4c8ff5ef753ca99483391bf
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