Instructions to use replicate/activation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use replicate/activation with Kernels:
# !pip install kernels from kernels import get_kernel # a version (or an explicit revision) is required; see the "Files and versions" tab for the available ones kernel = get_kernel("replicate/activation", version=1) - Notebooks
- Google Colab
- Kaggle
Build with default capabilities
Browse files- build.toml +2 -3
build.toml
CHANGED
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@@ -8,9 +8,8 @@ src = [
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]
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[kernel.activation]
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language = "cuda-hipify"
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rocm-archs = [ "gfx906", "gfx908", "gfx90a", "gfx940", "gfx941", "gfx942", "gfx1030", "gfx1100", "gfx1101" ]
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src = [
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"activation/activation_kernels.cu",
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"activation/cuda_compat.h",
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]
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[kernel.activation]
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#language = "cuda-hipify"
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#rocm-archs = [ "gfx906", "gfx908", "gfx90a", "gfx940", "gfx941", "gfx942", "gfx1030", "gfx1100", "gfx1101" ]
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src = [
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"activation/activation_kernels.cu",
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"activation/cuda_compat.h",
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