Instructions to use vector2003/sinhala-ocr-postcorrection-byt5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vector2003/sinhala-ocr-postcorrection-byt5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vector2003/sinhala-ocr-postcorrection-byt5")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vector2003/sinhala-ocr-postcorrection-byt5", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload finetuned_byt5.zip
Browse files- finetuned_byt5.zip +3 -0
finetuned_byt5.zip
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