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:
- 3de70de5a106efdc0ea4df4e838b26d8cc9b148b4b3533b63065966435be2286
- Size of remote file:
- 83.1 MB
- SHA256:
- 57753749deb0c3e9e87e73f8c312cbe99ea55d55682bf17bbb7d2624519702ea
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