Instructions to use dchen0/font_classifier_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dchen0/font_classifier_v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dchen0/font_classifier_v4") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("dchen0/font_classifier_v4") model = AutoModelForImageClassification.from_pretrained("dchen0/font_classifier_v4") - Notebooks
- Google Colab
- Kaggle
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base_model:
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- facebook/dinov2-base
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pipeline_tag: image-classification
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---
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base_model:
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- facebook/dinov2-base
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pipeline_tag: image-classification
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license: mit
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language:
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- en
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library_name: adapter-transformers
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