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:
- c7791ce52a35a8dcb443f4d039c15a401ec4bcf1cd6decdd5ddda622f359f961
- Size of remote file:
- 8.3 MB
- SHA256:
- f7a164557eb74ce102f82cd4df90a332f6f0dfbadf4438231beee9da629f888f
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