vitouphy Luigi commited on
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Update README.md (#3)

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- Update README.md (f8a5e4e7f2c5ce7f902c95e5bbb45668d048d27a)


Co-authored-by: Luigi Liu <[email protected]>

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  1. README.md +3 -3
README.md CHANGED
@@ -39,7 +39,7 @@ This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://hug
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  from transformers import pipeline
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  # Load the model
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- pipe = pipeline(model="vitouphy/wav2vec2-xls-r-300m-phoneme")
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  # Process raw audio
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  output = pipe("audio_file.wav", chunk_length_s=10, stride_length_s=(4, 2))
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  ```
@@ -53,8 +53,8 @@ import torch
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  import soundfile as sf
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  # load model and processor
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- processor = Wav2Vec2Processor.from_pretrained("vitouphy/wav2vec2-xls-r-300m-phoneme")
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- model = Wav2Vec2ForCTC.from_pretrained("vitouphy/wav2vec2-xls-r-300m-phoneme")
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  # Read and process the input
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  audio_input, sample_rate = sf.read("audio_file.wav")
 
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  from transformers import pipeline
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  # Load the model
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+ pipe = pipeline(model="vitouphy/wav2vec2-xls-r-300m-timit-phoneme")
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  # Process raw audio
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  output = pipe("audio_file.wav", chunk_length_s=10, stride_length_s=(4, 2))
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  ```
 
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  import soundfile as sf
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  # load model and processor
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+ processor = Wav2Vec2Processor.from_pretrained("vitouphy/wav2vec2-xls-r-300m-timit-phoneme")
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+ model = Wav2Vec2ForCTC.from_pretrained("vitouphy/wav2vec2-xls-r-300m-timit-phoneme")
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  # Read and process the input
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  audio_input, sample_rate = sf.read("audio_file.wav")