Image-to-Text
Transformers
PyTorch
TensorBoard
English
vision-encoder-decoder
image-text-to-text
Generated from Trainer
Instructions to use DunnBC22/trocr-base-printed_captcha_ocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/trocr-base-printed_captcha_ocr with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="DunnBC22/trocr-base-printed_captcha_ocr")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("DunnBC22/trocr-base-printed_captcha_ocr") model = AutoModelForMultimodalLM.from_pretrained("DunnBC22/trocr-base-printed_captcha_ocr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e57c08df21698fa184dde5b9469dde6ce9d3d82131301c9e0e9b2178f0416dec
- Size of remote file:
- 3.5 kB
- SHA256:
- 71280dd001456d02697f124b62b59772ee234bd3a74b729e31820e62e310dbb3
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