Image Classification
Transformers
Safetensors
vit
image-classification, faces-recognition
Generated from Trainer
Instructions to use al-css/faces_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use al-css/faces_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="al-css/faces_classification") 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("al-css/faces_classification") model = AutoModelForImageClassification.from_pretrained("al-css/faces_classification") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files- config.json +10 -2
- model.safetensors +2 -2
config.json
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"84": "LABEL_84",
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"image_size": 224,
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"initializer_range": 0.02,
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"LABEL_85": 85,
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"84": "LABEL_84",
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"86": "LABEL_86",
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"image_size": 224,
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"initializer_range": 0.02,
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"LABEL_85": 85,
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"LABEL_86": 86,
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:f6a809d2ede1866fc42c835c0e698cb3edd6ba18fb01f3a8b759e3d28fc187e7
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size 343500824
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