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@@ -15,7 +15,10 @@ This repository contains the conversion of [YassineKader/whisper-small-haitian](
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  This model can be used in CTranslate2 or projects based on CTranslate2 such as [faster-whisper](https://github.com/guillaumekln/faster-whisper).
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  ## Example
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-
 
 
 
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  ```python
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  import ctranslate2
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  import librosa
@@ -28,7 +31,7 @@ processor = transformers.WhisperProcessor.from_pretrained("YassineKader/whisper-
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  inputs = processor(audio, return_tensors="np", sampling_rate=16000)
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  features = ctranslate2.StorageView.from_array(inputs.input_features)
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  # Load the model on CPU.
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- model = ctranslate2.models.Whisper("whisper-small-HT")
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  # Detect the language.
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  results = model.detect_language(features)
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  language, probability = results[0][0]
 
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  This model can be used in CTranslate2 or projects based on CTranslate2 such as [faster-whisper](https://github.com/guillaumekln/faster-whisper).
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  ## Example
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+ ```git
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+ #clone the repo
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+ git clone https://huggingface.co/YassineKader/faster-whisper-small-haitian
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+ ```
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  ```python
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  import ctranslate2
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  import librosa
 
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  inputs = processor(audio, return_tensors="np", sampling_rate=16000)
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  features = ctranslate2.StorageView.from_array(inputs.input_features)
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  # Load the model on CPU.
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+ model = ctranslate2.models.Whisper("faster-whisper-small-haitian")
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  # Detect the language.
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  results = model.detect_language(features)
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  language, probability = results[0][0]