Instructions to use peter-yuma/natix-test-model-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peter-yuma/natix-test-model-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="peter-yuma/natix-test-model-2") 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("peter-yuma/natix-test-model-2") model = AutoModelForImageClassification.from_pretrained("peter-yuma/natix-test-model-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update model_card.json
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model_card.json
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{
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"model_name": "test_model",
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"version": 0.0.1,
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"submission_time": 1748447292
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"model_name": "test_model",
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"description": "test model",
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"version": "0.0.1",
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"submitted_by": "5DALCBWXMhMJQRNn6PxqWDhv6ii4HGoQ6qBPTUdCeu5WS2j3",
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"submission_time": 1748447292
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}
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