Update all references to canonical models (#29001)
* Script & Manual edition * Update
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@@ -52,7 +52,7 @@ To do so, the `SpeechEncoderDecoderModel` class provides a [`SpeechEncoderDecode
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>>> from transformers import SpeechEncoderDecoderModel
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>>> model = SpeechEncoderDecoderModel.from_encoder_decoder_pretrained(
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... "facebook/hubert-large-ll60k", "bert-base-uncased"
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... "facebook/hubert-large-ll60k", "google-bert/bert-base-uncased"
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... )
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```
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@@ -93,7 +93,7 @@ speech inputs) and `labels` (which are the `input_ids` of the encoded target seq
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>>> from datasets import load_dataset
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>>> encoder_id = "facebook/wav2vec2-base-960h" # acoustic model encoder
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>>> decoder_id = "bert-base-uncased" # text decoder
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>>> decoder_id = "google-bert/bert-base-uncased" # text decoder
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>>> feature_extractor = AutoFeatureExtractor.from_pretrained(encoder_id)
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>>> tokenizer = AutoTokenizer.from_pretrained(decoder_id)
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