From dfb59a32d26822546e4f6a3ed7dcd521fe1265da Mon Sep 17 00:00:00 2001
From: Deep-unlearning <steven@cli47-202.taildb5d.ts.net>
Date: Mon, 19 May 2025 12:35:44 +0200
Subject: [PATCH] Create fine-tune-csm

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 fine-tune-csm.md | 38 ++++++++++++++++++++++++++++++++++++++
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@@ -6005,3 +6005,20 @@
     - community
     - announcement
     - transformers
+
+- local: fine-tune-csm
+  title: "Fine-Tune CSM For Conversational Speech LLMs with 🤗 Transformers"
+  thumbnail: /blog/assets/112_fine_tune_csm/thumbnail.jpg
+  authors:
+    - user: eustlb
+    - user: reach-vb
+    - user: Steveeeeeeen
+  date: TBD
+  tags:
+    - csm
+    - conversational
+    - audio
+    - speech
+    - text-to-speech
+    - llm
+    - fine-tuning
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+---
+title: "Fine-Tune CSM For Conversational Speech LLMs with 🤗 Transformers" 
+thumbnail: /blog/assets/112_fine_tune_csm/thumbnail.jpg
+authors:
+- user: eustlb
+- user: reach-vb
+- user: Steveeeeeeen
+---
+
+# Fine-Tune CSM For Conversational Speech LLMs with 🤗 Transformers
+
+# To be updated
+<a target="_blank" href="">
+    <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
+</a>
+
+
+In this blog, we present a step-by-step guide on fine-tuning CSM 
+for any conversational speech LLM dataset using Hugging Face 🤗 Transformers. This blog 
+provides in-depth explanations of the CSM model, the  dataset and 
+the theory behind fine-tuning, with accompanying code cells to execute the data 
+preparation and fine-tuning steps. For a more streamlined version of the notebook 
+with fewer explanations but all the code, see the accompanying [Google Colab]().
+
+
+## Table of Contents
+
+1. [Introduction](#introduction)
+2. [Fine-tuning CSM in a Google Colab](#fine-tuning-csm-in-a-google-colab)
+    1. [Prepare Environment](#prepare-environment)
+    2. [Load Dataset](#load-dataset)
+    3. [Prepare Feature Extractor, Tokenizer and Data](#prepare-feature-extractor-tokenizer-and-data)
+    4. [Training and Evaluation](#training-and-evaluation)
+    5. [Building a Demo](#building-a-demo)
+3. [Closing Remarks](#closing-remarks)
+
+## Introduction
+