Text Generation
PEFT
Safetensors
English
india
receipt-parsing
llama
lora
fintech
expense-tracking
indian-vendors
conversational
Instructions to use manaspros/indian-receipt-parser-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use manaspros/indian-receipt-parser-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "manaspros/indian-receipt-parser-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 364fa7d4a838407cc1e4651545bbf18819e8510a99d21429466fe6a28dbcdc62
- Size of remote file:
- 168 MB
- SHA256:
- aa0dedf9ea7f6b7726d3744ed664821185761b18557e80f0007b99571a1000ed
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