Instructions to use softdev629/z4d120gp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use softdev629/z4d120gp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="softdev629/z4d120gp") 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("softdev629/z4d120gp") model = AutoModelForImageClassification.from_pretrained("softdev629/z4d120gp") - Notebooks
- Google Colab
- Kaggle
Update model_card.json
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model_card.json
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"model_name": "k2-v0",
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"description": "first version",
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"version": "v0.0.1",
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"submitted_by": "
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"submission_time":
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}
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"model_name": "k2-v0",
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"description": "first version",
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"version": "v0.0.1",
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"submitted_by": "5Fc2oL3HYB7SBUUYoeeeXUXcr3JWWSfjC2KYTfcixSPHFDiE",
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"submission_time": 1748986594
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}
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