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wav2vec2-xls-r-300m

Transformers
PyTorch
wav2vec2
pretraining
speech
xls_r
xls_r_pretrained
Inference Endpoints
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@@ -34,6 +34,11 @@ The original model can be found under https://github.com/pytorch/fairseq/tree/ma
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  See [this notebook](https://colab.research.google.com/github/patrickvonplaten/notebooks/blob/master/Fine_Tune_XLSR_Wav2Vec2_on_Turkish_ASR_with_%F0%9F%A4%97_Transformers.ipynb) for more information on how to fine-tune the model.
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- You can find the [100M parameters version](https://huggingface.co/facebook/wav2vec2-xls-r-100m), the [1B version version](https://huggingface.co/facebook/wav2vec2-xls-r-1b) and the [2B parameters version](h
 
 
 
 
 
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  ![model image](https://raw.githubusercontent.com/patrickvonplaten/scientific_images/master/xls-r.png)
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  See [this notebook](https://colab.research.google.com/github/patrickvonplaten/notebooks/blob/master/Fine_Tune_XLSR_Wav2Vec2_on_Turkish_ASR_with_%F0%9F%A4%97_Transformers.ipynb) for more information on how to fine-tune the model.
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+ You can find other pretrained XLS-R models with different numbers of parameters:
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+ * [100M parameters version](https://huggingface.co/facebook/wav2vec2-xls-r-100m)
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+ * [300M parameters version](https://huggingface.co/facebook/wav2vec2-xls-r-300m)
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+ * [1B version version](https://huggingface.co/facebook/wav2vec2-xls-r-1b)
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+ * [2B version version](https://huggingface.co/facebook/wav2vec2-xls-r-2b)
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+
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  ![model image](https://raw.githubusercontent.com/patrickvonplaten/scientific_images/master/xls-r.png)
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