Image Classification
Transformers
PyTorch
TensorBoard
resnet
Generated from Trainer
Eval Results (legacy)
Instructions to use jayanta/microsoft-resnet-50-cartoon-face-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jayanta/microsoft-resnet-50-cartoon-face-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jayanta/microsoft-resnet-50-cartoon-face-recognition") 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("jayanta/microsoft-resnet-50-cartoon-face-recognition") model = AutoModelForImageClassification.from_pretrained("jayanta/microsoft-resnet-50-cartoon-face-recognition") - Notebooks
- Google Colab
- Kaggle
Request: DOI
#4 opened over 1 year ago
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salehpx
Librarian Bot: Add base_model information to model
#3 opened over 2 years ago
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librarian-bot
Adding ONNX file of this model
#2 opened almost 3 years ago
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yingxc
Adding `safetensors` variant of this model
#1 opened about 3 years ago
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SFconvertbot