Instructions to use microsoft/trocr-large-handwritten with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/trocr-large-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-large-handwritten")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("microsoft/trocr-large-handwritten") model = AutoModelForImageTextToText.from_pretrained("microsoft/trocr-large-handwritten") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66cd025c4ce7f277824a62ab066fa2bb9ebf87270eb5e706c8ab662083ba7fb3
- Size of remote file:
- 2.23 GB
- SHA256:
- 954bf2b50a871bb8e6e90ba0343d64d21055712f3d95d468995ea074481cb837
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