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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jayanta/microsoft-resnet-50-cartoon-face-recognition: direct link, hf CLI and curl.
- Browser
- Download file 94.6 MB
-
https://huggingface.co/jayanta/microsoft-resnet-50-cartoon-face-recognition/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jayanta/microsoft-resnet-50-cartoon-face-recognition/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jayanta/microsoft-resnet-50-cartoon-face-recognition/resolve/main/pytorch_model.bin
94.6 MB
- Xet hash:
- f1d914dfd0cc94f4b83d5ed6a038d3e60fc6c135df0f59c16da6beba10a15b4e
- Size of remote file:
- 94.6 MB
- SHA256:
- fffb5d3aa1db439a2b09778eccf2c0f1f0c692878c5ede28726f33faee6556b2
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