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Update README.md

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@@ -11,6 +11,7 @@ model-index:
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  - name: SpeechT5 TTS Swedish
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  results: []
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  pipeline_tag: text-to-speech
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -27,8 +28,8 @@ It achieves the following results on the evaluation set:
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  Swedish SpeechT5 model trained on Swedish language in Common Voice. Example on how to implement the model below. Test the model yourself at [https://huggingface.co/spaces/GreenCounsel/SpeechT5-sv](https://huggingface.co/spaces/GreenCounsel/SpeechT5-sv) (not possible to run pipeline inference at Huggingface).
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  ```
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- pip install datasets soundfile
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- pip install transformers
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  from transformers import SpeechT5Processor, SpeechT5ForTextToSpeech, SpeechT5HifiGan, set_seed
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  import torch
 
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  - name: SpeechT5 TTS Swedish
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  results: []
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  pipeline_tag: text-to-speech
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+ inference: false
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  Swedish SpeechT5 model trained on Swedish language in Common Voice. Example on how to implement the model below. Test the model yourself at [https://huggingface.co/spaces/GreenCounsel/SpeechT5-sv](https://huggingface.co/spaces/GreenCounsel/SpeechT5-sv) (not possible to run pipeline inference at Huggingface).
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  ```
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+ #pip install datasets soundfile
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+ #pip install transformers
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  from transformers import SpeechT5Processor, SpeechT5ForTextToSpeech, SpeechT5HifiGan, set_seed
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  import torch