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@@ -34,3 +34,11 @@ Known version compatibility issues for Wav2vec2:
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  This can create critical error when loading the model, at the step of loading the Wav2Vec2PositionalConvEmbedding,
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  which uses different module for the weight_norm depending on the pretraining version. This is quite unfortunate.
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  Consequently I recommend checking for the error message of HuggingFace with from_pretrained(), and changing your torch version if the weights can't be properly loaded.
 
 
 
 
 
 
 
 
 
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  This can create critical error when loading the model, at the step of loading the Wav2Vec2PositionalConvEmbedding,
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  which uses different module for the weight_norm depending on the pretraining version. This is quite unfortunate.
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  Consequently I recommend checking for the error message of HuggingFace with from_pretrained(), and changing your torch version if the weights can't be properly loaded.
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+
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+ Models trained with 2.0.1 and prior version:
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+ outputs_XXX_short_X
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+ outputs_XXX_tiny_X
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+
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+ Models trained with 2.1.1 and following version:
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+ outputs_XXX_large_X
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+ outputs_XXX_mini_X