From 98d272c12c25bb8f4332b324f9fbe96c64f6c1dd Mon Sep 17 00:00:00 2001
From: pytorchbot <soumith+bot@pytorch.org>
Date: Wed, 1 Jan 2025 02:04:12 +0000
Subject: [PATCH] auto-generating sphinx docs

---
 main/_modules/torchtune/datasets/_sft.html        | 2 +-
 main/generated/torchtune.datasets.SFTDataset.html | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/main/_modules/torchtune/datasets/_sft.html b/main/_modules/torchtune/datasets/_sft.html
index 473846c2fb..dfc6b9b7f8 100644
--- a/main/_modules/torchtune/datasets/_sft.html
+++ b/main/_modules/torchtune/datasets/_sft.html
@@ -513,7 +513,7 @@ <h1>Source code for torchtune.datasets._sft</h1><div class="highlight"><pre>
 <span class="sd">            ``load_dataset`` for more details.</span>
 <span class="sd">        message_transform (Transform): callable that keys into the desired fields in the sample</span>
 <span class="sd">            and converts text content to a list of :class:`~torchtune.data.Message`. It is expected that the final list</span>
-<span class="sd">            of messages are stored in the ``&quot;messages&quot;`` key.</span>
+<span class="sd">            of messages are stored in the ``&quot;messages&quot;`` key. See :ref:`message_transform_usage_label` for details.</span>
 <span class="sd">        model_transform (Transform): callable that applies model-specific pre-processing to the sample after the list of</span>
 <span class="sd">            messages is created from ``message_transform``. This includes tokenization and any modality-specific</span>
 <span class="sd">            transforms. It is expected to return at minimum ``&quot;tokens&quot;`` and ``&quot;mask&quot;`` keys.</span>
diff --git a/main/generated/torchtune.datasets.SFTDataset.html b/main/generated/torchtune.datasets.SFTDataset.html
index cd3da7887e..173a3b71a2 100644
--- a/main/generated/torchtune.datasets.SFTDataset.html
+++ b/main/generated/torchtune.datasets.SFTDataset.html
@@ -500,7 +500,7 @@ <h1>SFTDataset<a class="headerlink" href="#sftdataset" title="Permalink to this
 <code class="docutils literal notranslate"><span class="pre">load_dataset</span></code> for more details.</p></li>
 <li><p><strong>message_transform</strong> (<a class="reference internal" href="torchtune.modules.transforms.Transform.html#torchtune.modules.transforms.Transform" title="torchtune.modules.transforms.Transform"><em>Transform</em></a>) – callable that keys into the desired fields in the sample
 and converts text content to a list of <a class="reference internal" href="torchtune.data.Message.html#torchtune.data.Message" title="torchtune.data.Message"><code class="xref py py-class docutils literal notranslate"><span class="pre">Message</span></code></a>. It is expected that the final list
-of messages are stored in the <code class="docutils literal notranslate"><span class="pre">&quot;messages&quot;</span></code> key.</p></li>
+of messages are stored in the <code class="docutils literal notranslate"><span class="pre">&quot;messages&quot;</span></code> key. See <a class="reference internal" href="../basics/message_transforms.html#message-transform-usage-label"><span class="std std-ref">Message Transforms</span></a> for details.</p></li>
 <li><p><strong>model_transform</strong> (<a class="reference internal" href="torchtune.modules.transforms.Transform.html#torchtune.modules.transforms.Transform" title="torchtune.modules.transforms.Transform"><em>Transform</em></a>) – callable that applies model-specific pre-processing to the sample after the list of
 messages is created from <code class="docutils literal notranslate"><span class="pre">message_transform</span></code>. This includes tokenization and any modality-specific
 transforms. It is expected to return at minimum <code class="docutils literal notranslate"><span class="pre">&quot;tokens&quot;</span></code> and <code class="docutils literal notranslate"><span class="pre">&quot;mask&quot;</span></code> keys.</p></li>