Instructions to use jasmeen/dogs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jasmeen/dogs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jasmeen/dogs") 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("jasmeen/dogs") model = AutoModelForImageClassification.from_pretrained("jasmeen/dogs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 021469b5b358f5644d25948905d59ebb7dae83aef69e0305125c658ca7791696
- Size of remote file:
- 343 MB
- SHA256:
- 197a9b9192e5455faa509514a1e66e576e2970ca6fa4b103ab9cafae33c8e95a
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