Update all references to canonical models (#29001)

* Script & Manual edition

* Update
This commit is contained in:
Lysandre Debut
2024-02-16 08:16:58 +01:00
committed by GitHub
parent 1e402b957d
commit f497f564bb
561 changed files with 2682 additions and 2687 deletions

View File

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