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:
- 221b398968df4c6f2ec97d926444c7246ee237ba30a98d8552f83db46e9a8ae2
- Size of remote file:
- 1.06 kB
- SHA256:
- eeff771eceba11ececa0a4a67b23421b70685132a4ed4ec5ec6b6cd2df076d18
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.