Instructions to use microsoft/trocr-small-stage1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/trocr-small-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-small-stage1")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("microsoft/trocr-small-stage1") model = AutoModelForImageTextToText.from_pretrained("microsoft/trocr-small-stage1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd2eb6ae064abdeb1bfddd5ec09361a953e478b2f0b6e5da3627f8b3700748ae
- Size of remote file:
- 246 MB
- SHA256:
- 35ee4bee78f7686e15e5eaf9de5b0788ae28c53fa756883afd3405924f6c49c5
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