Merge pull request #35 from huggingface/ylacombe-patch-1

Add colab link for fine-tuning

README.md

@@ -57,6 +57,9 @@ sf.write("parler_tts_out.wav", audio_arr, model.config.sampling_rate)
 https://github.com/huggingface/parler-tts/assets/52246514/251e2488-fe6e-42c1-81cd-814c5b7795b0
 
 ## Training
+<a target="_blank" href="https://colab.research.google.com/github/ylacombe/scripts_and_notebooks/blob/main/Finetuning_Parler_TTS_on_a_single_speaker_dataset.ipynb"> 
+  <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/> 
+</a>
 
 The [training folder](/training/) contains all the information to train or fine-tune your own Parler-TTS model. It consists of:
 - [1. An introduction to the Parler-TTS architecture](/training/README.md#1-architecture)

training/README.md

 # Training Parler-TTS
 
+<a target="_blank" href="https://colab.research.google.com/github/ylacombe/scripts_and_notebooks/blob/main/Finetuning_Parler_TTS_on_a_single_speaker_dataset.ipynb"> 
+  <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/> 
+</a>
+
 **TL;DR:** After having followed the [installation steps](#requirements), you can reproduce the [Parler-TTS Mini v0.1](https://huggingface.co/parler-tts/parler_tts_mini_v0.1) training recipe with the following command line:
 
 ```sh
@@ -13,6 +17,8 @@ This sub-folder contains all the information to train or fine-tune your own Parl
 - [2. First steps to get started](#b-getting-started)
 - [3. Training guide](#c-training)
 
+> [!IMPORTANT]
+> You can also follow [this fine-tuning guide](https://colab.research.google.com/github/ylacombe/scripts_and_notebooks/blob/main/Finetuning_Parler_TTS_on_a_single_speaker_dataset.ipynb) on a mono-speaker dataset example.
 
 ## 1. Architecture