Instructions to use yonilev/Text2Receipt-parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yonilev/Text2Receipt-parser with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "yonilev/Text2Receipt-parser") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 8c5639177dd823636a97ceb6576c2025d0af487cfb421b5dcfc99bacc86cb133
- Size of remote file:
- 125 kB
- SHA256:
- d78090bd5daad25f3c07d1644e3cbfe3e05468f3b46456a18b6263cb95ab2c7f
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