Instructions to use sivan22/ResNet-finetuned-HHD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sivan22/ResNet-finetuned-HHD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sivan22/ResNet-finetuned-HHD") 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("sivan22/ResNet-finetuned-HHD") model = AutoModelForImageClassification.from_pretrained("sivan22/ResNet-finetuned-HHD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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language:
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A ResNet Finetuned on the https://huggingface.co/datasets/sivan22/hebrew-handwritten-dataset
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- sivan22/hebrew-handwritten-dataset
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language:
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pipeline_tag: image-classification
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A ResNet Finetuned on the https://huggingface.co/datasets/sivan22/hebrew-handwritten-dataset
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