Instructions to use lowem1/t5_ocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lowem1/t5_ocr with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lowem1/t5_ocr") model = AutoModelForSeq2SeqLM.from_pretrained("lowem1/t5_ocr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 915a5753e0e92a54d96b9b96dd7bb052d58ffe9dbe85c3562c2d9fbaa729f64d
- Size of remote file:
- 242 MB
- SHA256:
- 935ff7f488d0ad0b97c9268df07ea2bac3fd89d0d4cb28f2eaf1012fcf5dd9a3
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