Instructions to use microsoft/trocr-base-str with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/trocr-base-str 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-base-str")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("microsoft/trocr-base-str") model = AutoModelForImageTextToText.from_pretrained("microsoft/trocr-base-str") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed70109029f56788b3cbfccfa15cac2da84d71e7d98905ab68741a2c40521268
- Size of remote file:
- 1.34 GB
- SHA256:
- eaff179cd469b751f3afa999ca3ed0ab178373e8b46ad060342cabd8cc277085
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