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LinBMS410
/
receipt_detector

PEFT
Safetensors
English
Indonesian
lora
vision-language-model
receipt-extraction
cord-v2
qwen2.5-vl
Model card Files Files and versions
xet
Community

Instructions to use LinBMS410/receipt_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use LinBMS410/receipt_detector with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-VL-3B-Instruct")
    model = PeftModel.from_pretrained(base_model, "LinBMS410/receipt_detector")
  • Notebooks
  • Google Colab
  • Kaggle
receipt_detector
26.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
LinBMS410's picture
LinBMS410
Add model card
5c43c50 verified about 1 month ago
  • .gitattributes
    1.57 kB
    Add processor config about 1 month ago
  • README.md
    2.43 kB
    Add model card about 1 month ago
  • adapter_config.json
    1.06 kB
    Add Qwen2.5-VL-3B LoRA adapter for CORD-v2 receipt extraction about 1 month ago
  • adapter_model.safetensors
    14.8 MB
    xet
    Add Qwen2.5-VL-3B LoRA adapter for CORD-v2 receipt extraction about 1 month ago
  • chat_template.jinja
    1.02 kB
    Add processor config about 1 month ago
  • processor_config.json
    1.26 kB
    Add processor config about 1 month ago
  • tokenizer.json
    11.4 MB
    xet
    Add processor config about 1 month ago
  • tokenizer_config.json
    786 Bytes
    Add processor config about 1 month ago