Instructions to use mlahr/font-identifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlahr/font-identifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mlahr/font-identifier") 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("mlahr/font-identifier") model = AutoModelForImageClassification.from_pretrained("mlahr/font-identifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c60443f7bbce9c083c02a43d803013cfe7c6ffe8f085f377e6bfc125112ca0d
- Size of remote file:
- 89.6 MB
- SHA256:
- 596501e51f4d7f20bc095d6bad8b9ed5e3b7b5b641de8da71abb4b615f9568a6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.