Spaces:
Running
Running
Update README.md
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README.md
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@@ -43,7 +43,7 @@ ZeroGPU uses _Nvidia A100_ GPU devices under the hood (40GB of vRAM are availabl
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<img src="https://cdn-uploads.huggingface.co/production/uploads/5f17f0a0925b9863e28ad517/naVZI-v41zNxmGlhEhGDJ.gif" style="width: 100%; max-width:550px"/>
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*ZeroGPU* Spaces should mostly be compatible with any PyTorch-based GPU Space.<br>
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Compatibility with high level HF libraries like `transformers` or `diffusers` is slightly more guaranteed<br>
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- PyTorch: All versions from `2.0.0` to `2.2.0`
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- Python: `3.10.13`
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In order to make your Space work with ZeroGPU you need to **decorate** the Python functions that actually require a GPU with `@spaces.GPU`<br>
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During the time when a decorated function is invoked, the Space will be attributed a GPU, and it will release it upon completion of the function.<br>
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<img src="https://cdn-uploads.huggingface.co/production/uploads/5f17f0a0925b9863e28ad517/naVZI-v41zNxmGlhEhGDJ.gif" style="width: 100%; max-width:550px"/>
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## Compatibility
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*ZeroGPU* Spaces should mostly be compatible with any PyTorch-based GPU Space.<br>
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Compatibility with high level HF libraries like `transformers` or `diffusers` is slightly more guaranteed<br>
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- PyTorch: All versions from `2.0.0` to `2.2.0`
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- Python: `3.10.13`
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## Usage
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In order to make your Space work with ZeroGPU you need to **decorate** the Python functions that actually require a GPU with `@spaces.GPU`<br>
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During the time when a decorated function is invoked, the Space will be attributed a GPU, and it will release it upon completion of the function.<br>
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