Text Generation
PEFT
Safetensors
equation-reasoning
p3
repository-library
research-library
t3_pdf
text2text-generation
Instructions to use PeytonT/equation-reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PeytonT/equation-reasoning 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/equation-reasoning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3d9cb3fe592164262eeffe75255f2d1cf455d5bd9b31dedf8cbfae2d9821e5d
- Size of remote file:
- 5.78 kB
- SHA256:
- 53aa3606e043043d2b1a7910287d458d669de5aaab1096cb7571a883008651d4
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