pere commited on
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4f79faf
1 Parent(s): db8d738

Update export_models.sh

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Files changed (1) hide show
  1. export_models.sh +13 -13
export_models.sh CHANGED
@@ -6,22 +6,22 @@ python << END
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  from transformers import WhisperForConditionalGeneration, TFWhisperForConditionalGeneration, WhisperTokenizerFast
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  import shutil
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- # Backup generation_config.json
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- shutil.copyfile('./generation_config.json', './generation_config_backup.json')
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  print("Saving model to PyTorch...", end=" ")
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  model = WhisperForConditionalGeneration.from_pretrained("./", from_flax=True)
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  model.save_pretrained("./", safe_serialization=True)
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- model.save_pretrained("./", safe_serialization=False)
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  print("Done.")
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- print("Saving model to TensorFlow...", end=" ")
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- tf_model = TFWhisperForConditionalGeneration.from_pretrained("./")
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- tf_model.save_pretrained("./")
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- print("Done.")
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  # Restore the backup of generation_config.json
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- shutil.move('./generation_config_backup.json', './generation_config.json')
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  print("Saving model to ONNX...", end=" ")
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  from optimum.onnxruntime import ORTModelForSpeechSeq2Seq
@@ -29,16 +29,16 @@ ort_model = ORTModelForSpeechSeq2Seq.from_pretrained("./", export=True)
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  ort_model.save_pretrained("./onnx")
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  print("Done")
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- print("Saving model to CTranslate...", end=" ")
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- ct2-transformers-converter --model . --output_dir ct2
 
 
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  cp ct2/model.bin .
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  cp ct2/vocabulary.json .
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  cp config.json config_hf.json
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  jq -s '.[0] * .[1]' ct2/config.json config_hf.json > config.json
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- print("Done")
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-
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- END
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  echo "Saving model to GGML (whisper.cpp)..."
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  wget -O convert-h5-to-ggml.py "https://raw.githubusercontent.com/NbAiLab/nb-whisper/main/convert-h5-to-ggml.py"
 
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  from transformers import WhisperForConditionalGeneration, TFWhisperForConditionalGeneration, WhisperTokenizerFast
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  import shutil
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+ # Backup generation_config.json - this is for tensorflow only, but at the moment that is causing errors.
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+ # shutil.copyfile('./generation_config.json', './generation_config_backup.json')
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  print("Saving model to PyTorch...", end=" ")
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  model = WhisperForConditionalGeneration.from_pretrained("./", from_flax=True)
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  model.save_pretrained("./", safe_serialization=True)
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+ model.save_pretrained("./", safe_serialization=False, max_shard_size="10000MB")
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  print("Done.")
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+ #print("Saving model to TensorFlow...", end=" ")
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+ #tf_model = TFWhisperForConditionalGeneration.from_pretrained("./")
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+ #tf_model.save_pretrained("./")
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+ #print("Done.")
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  # Restore the backup of generation_config.json
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+ #shutil.move('./generation_config_backup.json', './generation_config.json')
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  print("Saving model to ONNX...", end=" ")
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  from optimum.onnxruntime import ORTModelForSpeechSeq2Seq
 
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  ort_model.save_pretrained("./onnx")
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  print("Done")
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+ END
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+
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+ echo "Saving model to CTranslate..."
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+ ct2-transformers-converter --model . --output_dir ct2 --force
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  cp ct2/model.bin .
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  cp ct2/vocabulary.json .
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  cp config.json config_hf.json
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  jq -s '.[0] * .[1]' ct2/config.json config_hf.json > config.json
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+ echo "Done"
 
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  echo "Saving model to GGML (whisper.cpp)..."
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  wget -O convert-h5-to-ggml.py "https://raw.githubusercontent.com/NbAiLab/nb-whisper/main/convert-h5-to-ggml.py"