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yonilev
/
Text2Receipt-parser

PEFT
Safetensors
Hebrew
hebrew
lora
qlora
information-extraction
israeli-tax
text2receipt
Model card Files Files and versions
xet
Community

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
Text2Receipt-parser
122 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
yonilev's picture
yonilev
Upload tokenizer
ee52b01 verified about 1 month ago
  • .gitattributes
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  • README.md
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  • adapter_config.json
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  • adapter_model.safetensors
    83.1 MB
    xet
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  • special_tokens_map.json
    636 Bytes
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  • tokenizer.json
    34.4 MB
    xet
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  • tokenizer.model
    4.24 MB
    xet
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  • tokenizer_config.json
    47 kB
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