microsoft
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xtremedistil-l6-h384-uncased

Text Classification Transformers PyTorch TensorFlow JAX English bert feature-extraction Inference Endpoints

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subho commited on Apr 27, 2021

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@@ -23,6 +23,8 @@ The following table shows the results on GLUE dev set and SQuAD-v2.
 | MiniLM      | 22     | 5.3x     | 82.8 | 90.3 | 90.6 | 68.9 | 91.3 | 86.6 | 72.9   | 83.3 |
 | XtremeDistil   | 22     | 5.3x     | 85.4 | 90.3 | 91.0   | 80.9 | 92.3 | 90.0   | 76.6   | 86.6 |
 If you use this checkpoint in your work, please cite:
 ``` latex

 | MiniLM      | 22     | 5.3x     | 82.8 | 90.3 | 90.6 | 68.9 | 91.3 | 86.6 | 72.9   | 83.3 |
 | XtremeDistil   | 22     | 5.3x     | 85.4 | 90.3 | 91.0   | 80.9 | 92.3 | 90.0   | 76.6   | 86.6 |
+Tested with `tensorflow 2.3.1, transformers 4.1.1, torch 1.6.0`
 If you use this checkpoint in your work, please cite:
 ``` latex