Instructions to use pykale/bart-large-ocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pykale/bart-large-ocr with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pykale/bart-large-ocr") model = AutoModelForSeq2SeqLM.from_pretrained("pykale/bart-large-ocr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f21c0b818912383666b1275e17c8c432a30c3c7d6a9d29f2e6d601abe4c5301
- Size of remote file:
- 1.63 GB
- SHA256:
- c12c4c77e75cb34ca3d53cb892edf4db5d83d9cd3893c28f7abca2e430bf33c7
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