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@@ -24,10 +24,10 @@ Links:
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# Quick Start
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## Installation
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> [!NOTE]
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-> One of the prerequisites of SeamlessM4T is [fairseq2](https://github.com/facebookresearch/fairseq2) which has pre-built packages available only
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+> One of the prerequisites of SeamlessM4T is [fairseq2 v0.1.1](https://github.com/facebookresearch/fairseq2/tree/v0.1.1) which has pre-built packages available only
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> for Linux x84-86 and Apple-silicon Mac computers. In addition it has a dependency on [libsndfile](https://github.com/libsndfile/libsndfile) which
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> might not be installed on your machine. If you experience any installation issues, please refer to its
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-> [README](https://github.com/facebookresearch/fairseq2) for further instructions.
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+> [README](https://github.com/facebookresearch/fairseq2/tree/v0.1.1) for further instructions.
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```
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pip install .
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@@ -152,8 +152,6 @@ scipy.io.wavfile.write("out_from_text.wav", rate=sample_rate, data=audio_array_f
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For more details on using the SeamlessM4T model for inference using the 🤗 Transformers library, refer to the
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[SeamlessM4T docs](https://huggingface.co/docs/transformers/main/en/model_doc/seamless_m4t) or to this hands-on [Google Colab](https://colab.research.google.com/github/ylacombe/explanatory_notebooks/blob/main/seamless_m4t_hugging_face.ipynb).
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-
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-
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# Citation
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If you use SeamlessM4T in your work or any models/datasets/artifacts published in SeamlessM4T, please cite :
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Can Balioglu