Instructions to use kmewhort/resnet34-sketch-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kmewhort/resnet34-sketch-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="kmewhort/resnet34-sketch-classifier") 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("kmewhort/resnet34-sketch-classifier") model = AutoModelForImageClassification.from_pretrained("kmewhort/resnet34-sketch-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c69bffec2de580b3bcbf5db867ca0ccf4950be30baf472ae8f4c0d3c0ba8c907
- Size of remote file:
- 85.8 MB
- SHA256:
- 729cc47691dd8ee9507ea917adac454718a12929a712b7dc47294985cc474520
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