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:
# pip install -U transformers accelerate # 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
Download vocab.json from farhamu/bart-base-receipt-parser-1: direct link, hf CLI and curl.
- Browser
- Download file 798 kB
-
https://huggingface.co/farhamu/bart-base-receipt-parser-1/resolve/main/vocab.json
- Command line
-
hf download hf://farhamu/bart-base-receipt-parser-1/vocab.json
-
curl -L -o vocab.json https://huggingface.co/farhamu/bart-base-receipt-parser-1/resolve/main/vocab.json
798 kB
File too large to display, you can check the raw version instead.