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BiRefNet_lite-MLX

Image Segmentation
MLX
Safetensors
BiRefNet
moonbox
background-removal
dichotomous-image-segmentation
Model card Files
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jennyxue commited on
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Model card and the original license

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  1. README.md +3 -0
README.md CHANGED
@@ -25,6 +25,9 @@ for what was measured).
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  | Precision | File | Size | sha256 | Checked against the original |
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  | fp16 | [`fp16/config.json`](https://huggingface.co/moonbox-ai/BiRefNet_lite-MLX/blob/main/fp16/config.json) | 0.1 kB | `22466f2eeac0` | MAE <= 0.00002, mask IoU >= 0.9998 |
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  | fp16 | [`fp16/mlx_model.py`](https://huggingface.co/moonbox-ai/BiRefNet_lite-MLX/blob/main/fp16/mlx_model.py) | 20.1 kB | `bd3cb5681703` | MAE <= 0.00002, mask IoU >= 0.9998 |
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  | fp16 | [`fp16/model.safetensors`](https://huggingface.co/moonbox-ai/BiRefNet_lite-MLX/blob/main/fp16/model.safetensors) | 88.6 MB | `dedef2f909b6` | MAE <= 0.00002, mask IoU >= 0.9998 |
 
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  | Precision | File | Size | sha256 | Checked against the original |
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  |---|---|---|---|---|
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+ | bf16 | [`bf16/config.json`](https://huggingface.co/moonbox-ai/BiRefNet_lite-MLX/blob/main/bf16/config.json) | 0.1 kB | `7a4673b5400f` | MAE <= 0.0002, mask IoU >= 0.9987 |
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+ | bf16 | [`bf16/mlx_model.py`](https://huggingface.co/moonbox-ai/BiRefNet_lite-MLX/blob/main/bf16/mlx_model.py) | 20.1 kB | `bd3cb5681703` | MAE <= 0.0002, mask IoU >= 0.9987 |
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+ | bf16 | [`bf16/model.safetensors`](https://huggingface.co/moonbox-ai/BiRefNet_lite-MLX/blob/main/bf16/model.safetensors) | 88.6 MB | `7370536fcead` | MAE <= 0.0002, mask IoU >= 0.9987 |
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  | fp16 | [`fp16/config.json`](https://huggingface.co/moonbox-ai/BiRefNet_lite-MLX/blob/main/fp16/config.json) | 0.1 kB | `22466f2eeac0` | MAE <= 0.00002, mask IoU >= 0.9998 |
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  | fp16 | [`fp16/mlx_model.py`](https://huggingface.co/moonbox-ai/BiRefNet_lite-MLX/blob/main/fp16/mlx_model.py) | 20.1 kB | `bd3cb5681703` | MAE <= 0.00002, mask IoU >= 0.9998 |
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  | fp16 | [`fp16/model.safetensors`](https://huggingface.co/moonbox-ai/BiRefNet_lite-MLX/blob/main/fp16/model.safetensors) | 88.6 MB | `dedef2f909b6` | MAE <= 0.00002, mask IoU >= 0.9998 |