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README.md
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@@ -104,6 +104,12 @@ This classification model is built on top of [EUBERT](https://huggingface.co/Eur
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With less than 100 million parameters, it can be deployed on commodity hardware without GPU acceleration (around 200 ms per inference for 2000 characters).
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## Usage
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With less than 100 million parameters, it can be deployed on commodity hardware without GPU acceleration (around 200 ms per inference for 2000 characters).
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Parameters :
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- Number of epochs 10
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- Batch size 10
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- Max lenght 512
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- Learning Rate 5e-05
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## Usage
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