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wav2vec2-large-xlsr-53-frisian

Automatic Speech Recognition Transformers PyTorch

wav2vec2 audio speech xlsr-fine-tuning-week Eval Results Inference Endpoints

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wietsedv commited on Mar 28, 2021

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@@ -26,9 +26,9 @@ model-index:
          value: 16.25
 ---
-# Wav2Vec2-Large-XLSR-53-Dutch
-Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Dutch using the [Common Voice](https://huggingface.co/datasets/common_voice) dataset.
 When using this model, make sure that your speech input is sampled at 16kHz.
 ## Usage
@@ -70,7 +70,7 @@ print("Reference:", test_dataset["sentence"][:2])
 ## Evaluation
-The model can be evaluated as follows on the Dutch test data of Common Voice.
 ```python

          value: 16.25
 ---
+# Wav2Vec2-Large-XLSR-53-Frisian
+Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Frisian using the [Common Voice](https://huggingface.co/datasets/common_voice) dataset.
 When using this model, make sure that your speech input is sampled at 16kHz.
 ## Usage
 ## Evaluation
+The model can be evaluated as follows on the Frisian test data of Common Voice.
 ```python