Instructions to use dayyass/trocr-base-handwritten-vit-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dayyass/trocr-base-handwritten-vit-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="dayyass/trocr-base-handwritten-vit-encoder")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("dayyass/trocr-base-handwritten-vit-encoder") model = AutoModel.from_pretrained("dayyass/trocr-base-handwritten-vit-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0054620f19c3fdb9f2417101664f8c729db087750c19628fbacf57c690618a6
- Size of remote file:
- 347 MB
- SHA256:
- 1f4fc4c10e53fed91ed213f112d091a07549d04e9b110aa267823d733848eacd
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