Instructions to use pykale/bart-base-ocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pykale/bart-base-ocr with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pykale/bart-base-ocr") model = AutoModelForSeq2SeqLM.from_pretrained("pykale/bart-base-ocr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d603c30e1a61193a2db4726b82f12455924ded1d140495fa1fa16cd0c41322c
- Size of remote file:
- 558 MB
- SHA256:
- d7ed95b02dc099872dddfcbe74ad37653cc7076bb63df1fe641a0ca4b589536e
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