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README.md
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@@ -44,13 +44,11 @@ It achieves the following results on the evaluation set:
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This model is fine-tuned with Google FLEURS & OpenSLR (SLR42) dataset.
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```python
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import torch
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from transformers import pipeline
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pipe = pipeline(
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task="automatic-speech-recognition",
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model="seanghay/whisper-small-khmer",
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chunk_length_s=30,
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)
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result = pipe("audio.wav",
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This model is fine-tuned with Google FLEURS & OpenSLR (SLR42) dataset.
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```python
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from transformers import pipeline
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pipe = pipeline(
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task="automatic-speech-recognition",
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model="seanghay/whisper-small-khmer",
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)
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result = pipe("audio.wav",
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