Transformers
Safetensors
English
Indonesian
Burmese
bart
text2text-generation
receipt-parsing
information-extraction
ocr
text-to-text
Instructions to use farhamu/bart-base-receipt-parser-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use farhamu/bart-base-receipt-parser-1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("farhamu/bart-base-receipt-parser-1") model = AutoModelForSeq2SeqLM.from_pretrained("farhamu/bart-base-receipt-parser-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
update repo url
Browse files
README.md
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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# Load model and tokenizer
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model = AutoModelForSeq2SeqLM.from_pretrained("
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tokenizer = AutoTokenizer.from_pretrained("
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# Example usage
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receipt_text = """
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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# Load model and tokenizer
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model = AutoModelForSeq2SeqLM.from_pretrained("farhamu/bart-base-receipt-parser-v1")
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tokenizer = AutoTokenizer.from_pretrained("farhamu/bart-base-receipt-parser-v1")
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# Example usage
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receipt_text = """
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