Model card from fastforks 03e6fdbc
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README.md
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`segmentation.load("eomt-l-dinov2-ade20k", mode="kernels")` runs our CUDA kernels (`fastbb`, `seg_up`). It needs a prebuilt kernel for your GPU architecture (downloaded from <https://huggingface.co/fastforks/kernels> on first use) and a recent NVIDIA driver; if there is none it raises `BackendUnavailableError` with the reason and never falls back silently. `mode="auto"` picks `kernels` when it can run and logs the choice.
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`segmentation.load("eomt-l-dinov2-ade20k", mode="kernels")` runs our CUDA kernels (`fastbb`, `seg_up`). It needs a prebuilt kernel for your GPU architecture (downloaded from <https://huggingface.co/fastforks/kernels> on first use) and a recent NVIDIA driver; if there is none it raises `BackendUnavailableError` with the reason and never falls back silently. `mode="auto"` picks `kernels` when it can run and logs the choice.
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