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#### How can I resolve model specific python dependency?
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You can provide a requirements.txt while creating a mar file using "--requirements-file/ -r" flag. You can refer to the [waveglow text-to-speech-synthesizer](https://github.com/pytorch/serve/tree/master/examples/text_to_speech_synthesizer) example
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-[waveglow mar creation script](https://github.com/pytorch/serve/blob/master/examples/text_to_speech_synthesizer/create_mar.sh)
Refer [Torch model archiver cli](https://github.com/pytorch/serve/blob/master/model-archiver/README.md#torch-model-archiver-command-line-interface) for more details.
Copy file name to clipboardexpand all lines: docs/custom_service.md
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@@ -250,7 +250,7 @@ class ModelHandler(BaseHandler):
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```
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Refer [waveglow_handler](https://github.com/pytorch/serve/blob/master/examples/text_to_speech_synthesizer/waveglow_handler.py) for more details.
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Refer [waveglow_handler](https://github.com/pytorch/serve/blob/master/examples/text_to_speech_synthesizer/WaveGlow/waveglow_handler.py) for more details.
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#### Captum explanations for custom handler
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@@ -362,7 +362,7 @@ class CustomImageClassifier(ImageClassifier):
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