Instructions to use microsoft/trocr-large-printed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/trocr-large-printed 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="microsoft/trocr-large-printed")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("microsoft/trocr-large-printed") model = AutoModelForImageTextToText.from_pretrained("microsoft/trocr-large-printed") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56288c8455f3ae3052aec432558669906510c7526528eb5ae873b7b7798db8b2
- Size of remote file:
- 2.43 GB
- SHA256:
- 747198fc8a7368adc59f341b1ded2e9b0be3cbcc832df220c45813951cdc1ff2
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