Instructions to use FriedParrot/fish-segmentation-simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FriedParrot/fish-segmentation-simple with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="FriedParrot/fish-segmentation-simple")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageSegmentation processor = AutoImageProcessor.from_pretrained("FriedParrot/fish-segmentation-simple") model = AutoModelForImageSegmentation.from_pretrained("FriedParrot/fish-segmentation-simple") - Notebooks
- Google Colab
- Kaggle
Add trained FishSegmentationModel at 2025-10-05 23:22:46
Browse files- config.json +1 -0
- model.safetensors +1 -1
config.json
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"dice_loss_coefficient": 1,
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"dilation": false,
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"dropout": 0.1,
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"encoder_attention_heads": 8,
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"encoder_ffn_dim": 2048,
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"encoder_layerdrop": 0.0,
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"dice_loss_coefficient": 1,
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"dilation": false,
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"dropout": 0.1,
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"dtype": "float32",
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"encoder_attention_heads": 8,
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"encoder_ffn_dim": 2048,
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"encoder_layerdrop": 0.0,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 171843388
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