Image Classification
Transformers
ONNX
Safetensors
convnext
fish
cyprus-fish
vision
biology
Eval Results (legacy)
Instructions to use JayRay5/convnext-tiny-224-cyprus-fish-cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JayRay5/convnext-tiny-224-cyprus-fish-cls with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="JayRay5/convnext-tiny-224-cyprus-fish-cls") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("JayRay5/convnext-tiny-224-cyprus-fish-cls") model = AutoModelForImageClassification.from_pretrained("JayRay5/convnext-tiny-224-cyprus-fish-cls", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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license: mit
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datasets:
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- JayRay5/cyprus-fish-dataset
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base_model:
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- facebook/convnext-tiny-224
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tags:
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license: mit
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datasets:
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- JayRay5/cyprus-fish-dataset
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results:
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- task:
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type: classification
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dataset:
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type: fish classification
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name: Cyprus Fish Dataset
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metrics:
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- name: accuracy
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values: 0.95
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verified: true
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base_model:
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- facebook/convnext-tiny-224
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tags:
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