Instructions to use microsoft/trocr-large-stage1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/trocr-large-stage1 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-stage1")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("microsoft/trocr-large-stage1") model = AutoModelForMultimodalLM.from_pretrained("microsoft/trocr-large-stage1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e230e6f3be9cbc1be3040a5fb14c0237145eed2edb795a6c404152c39e5c8628
- Size of remote file:
- 2.43 GB
- SHA256:
- d8138061c487ffd92c232458ebe10934334d3a8dff064772288eefd576e96c37
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