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:
- ff4672724d410dba2a1614a22b643fe170fc4780b2835c3b09369065321e23ce
- Size of remote file:
- 526 kB
- SHA256:
- b00d9ad505c8f7d701620294a870e0c276d0fbadc41763f90e61c476c94f5672
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