Instructions to use stefanj0/t5gemma-math-corrector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use stefanj0/t5gemma-math-corrector with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/t5gemma-s-s-ul2-it") model = PeftModel.from_pretrained(base_model, "stefanj0/t5gemma-math-corrector") - Transformers
How to use stefanj0/t5gemma-math-corrector with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("stefanj0/t5gemma-math-corrector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- deb6f9fb0ef339e4feff671311f979ee0bda5d0c81943dd5617ca3c0aa939def
- Size of remote file:
- 14.6 kB
- SHA256:
- 97026289a5ff3e49253420f06290674139f61467712a2029e3c1001c12a71fb4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.