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
- Xet hash:
- 489457c2d626a19a9b94cef2061b0a52cb68a78c2242b6520455894a2f427e52
- Size of remote file:
- 349 MB
- SHA256:
- f2129b557dab708006300a047266ded5c36a9365f94e20108dbea11a900838c6
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