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:
- 585c0907f46f6281b56ecd1e70e4fe07928e75a465b16d78e44961e75ac1f766
- Size of remote file:
- 15.4 MB
- SHA256:
- fed98c96af4a8c079dcc6b725437694aa67ad3bd53d2b8fdb2edbfa992ceb472
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