Instructions to use co63oc/trocr-paddle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- paddlenlp
How to use co63oc/trocr-paddle with paddlenlp:
from paddlenlp.transformers import AutoTokenizer, VisionEncoderDecoderModel tokenizer = AutoTokenizer.from_pretrained("co63oc/trocr-paddle", from_hf_hub=True) model = VisionEncoderDecoderModel.from_pretrained("co63oc/trocr-paddle", from_hf_hub=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34c308a065db7bf7de6e4d8cba3326e36320da8f78ae119715300cc34547c49b
- Size of remote file:
- 246 MB
- SHA256:
- 9a9f73a136d055b20a209235924b89b6083c4ea0ff76e987424c8185f4fac8e7
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