Instructions to use microsoft/trocr-base-handwritten with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/trocr-base-handwritten 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-handwritten")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("microsoft/trocr-base-handwritten") model = AutoModelForImageTextToText.from_pretrained("microsoft/trocr-base-handwritten") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79b992c0dbb778f06d3d0e24fa770ac0d7f20b98df953a8afeefd113bb3019a7
- Size of remote file:
- 1.33 GB
- SHA256:
- d1091e5a98ff3b31cddcaa21423171be74e6d270128896e9edd0f6394e2a9978
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