Transformers
TensorBoard
Safetensors
English
dinov2
multilabel-image-classification
multilabel
Generated from Trainer
Instructions to use lombardata/DinoVdeau-large-2024_04_03-with_data_aug_batch-size32_epochs150_freeze with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lombardata/DinoVdeau-large-2024_04_03-with_data_aug_batch-size32_epochs150_freeze with Transformers:
# Load model directly from transformers import AutoImageProcessor, NewheadDinov2ForImageClassification processor = AutoImageProcessor.from_pretrained("lombardata/DinoVdeau-large-2024_04_03-with_data_aug_batch-size32_epochs150_freeze") model = NewheadDinov2ForImageClassification.from_pretrained("lombardata/DinoVdeau-large-2024_04_03-with_data_aug_batch-size32_epochs150_freeze") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +2 -2
config.json
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"21": "No_acropore_sub_massive",
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"22": "Rock",
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"23": "Sand",
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"24": "
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"25": "Sea_cucumber",
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"26": "Sea_urchins",
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"27": "Sponge",
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"No_acropore_sub_massive": 21,
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"Rock": 22,
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"Sand": 23,
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"
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"Sea_cucumber": 25,
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"Sea_urchins": 26,
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"Sponge": 27,
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"21": "No_acropore_sub_massive",
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"22": "Rock",
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"23": "Sand",
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"24": "Rubble",
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"25": "Sea_cucumber",
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"26": "Sea_urchins",
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"27": "Sponge",
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"No_acropore_sub_massive": 21,
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"Rock": 22,
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"Sand": 23,
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"Rubble": 24,
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"Sea_cucumber": 25,
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"Sea_urchins": 26,
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"Sponge": 27,
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