With transformers and diffusers

.gitignore

@@ -0,0 +1,2 @@
+/.quarto/
+/.ipynb_checkpoints/

Accelerate.ipynb

@@ -548,18 +548,35 @@
   },
   {
    "cell_type": "markdown",
-   "id": "23911045-44a7-4e1d-aebc-db46be856234",
+   "id": "083c7037-27a2-4347-b473-358feb3316b3",
    "metadata": {},
    "source": [
-    "## Demo!"
+    "## Is there an easier way?\n",
+    "\n",
+    "The `transformers` library combined with the Hub makes all this code wrapping much easier for you with the `pipeline`\n",
+    "\n",
+    "```python\n",
+    "import torch\n",
+    "from transformers import pipeline\n",
+    "pipe = pipeline(\n",
+    "    task=\"text-generation\",\n",
+    "    model=\"EleutherAI/gpt-j-6B\",\n",
+    "    device_map=\"auto\",\n",
+    "    torch_dtype=torch.float16\n",
+    ")\n",
+    "\n",
+    "text = pipe(\"This is some generated text, I think\")\n",
+    "```"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "6f5122b2-f4fe-4237-aff2-d2a69f85b692",
+   "id": "45b99a09-ba10-40b0-9b05-87360016da31",
    "metadata": {},
    "source": [
-    "# Thanks for Listening!"
+    "# What about Stable Diffusion? \n",
+    "\n",
+    "A demo with `diffusers`"
    ]
   },
   {

index.html

@@ -706,13 +706,24 @@ Zachary Mueller
 <span id="cb18-11"><a href="#cb18-11"></a><span class="cf">for</span> batch <span class="kw">in</span> dataloader:</span>
 <span id="cb18-12"><a href="#cb18-12"></a>    output <span class="op">=</span> my_model(batch)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </section>
-<section id="demo" class="slide level2">
-<h2>Demo!</h2>
+<section id="is-there-an-easier-way" class="slide level2">
+<h2>Is there an easier way?</h2>
+<p>The <code>transformers</code> library combined with the Hub makes all this code wrapping much easier for you with the <code>pipeline</code></p>
+<div class="sourceCode" id="cb19"><pre class="sourceCode numberSource python number-lines code-with-copy"><code class="sourceCode python"><span id="cb19-1"><a href="#cb19-1"></a><span class="im">import</span> torch</span>
+<span id="cb19-2"><a href="#cb19-2"></a><span class="im">from</span> transformers <span class="im">import</span> pipeline</span>
+<span id="cb19-3"><a href="#cb19-3"></a>pipe <span class="op">=</span> pipeline(</span>
+<span id="cb19-4"><a href="#cb19-4"></a>    task<span class="op">=</span><span class="st">"text-generation"</span>,</span>
+<span id="cb19-5"><a href="#cb19-5"></a>    model<span class="op">=</span><span class="st">"EleutherAI/gpt-j-6B"</span>,</span>
+<span id="cb19-6"><a href="#cb19-6"></a>    device_map<span class="op">=</span><span class="st">"auto"</span>,</span>
+<span id="cb19-7"><a href="#cb19-7"></a>    torch_dtype<span class="op">=</span>torch.float16</span>
+<span id="cb19-8"><a href="#cb19-8"></a>)</span>
+<span id="cb19-9"><a href="#cb19-9"></a></span>
+<span id="cb19-10"><a href="#cb19-10"></a>text <span class="op">=</span> pipe(<span class="st">"This is some generated text, I think"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </section></section>
 <section>
-<section id="thanks-for-listening" class="title-slide slide level1 center">
-<h1>Thanks for Listening!</h1>
-
+<section id="what-about-stable-diffusion" class="title-slide slide level1 center">
+<h1>What about Stable Diffusion?</h1>
+<p>A demo with <code>diffusers</code></p>
 </section>
 <section id="some-handy-resources" class="slide level2">
 <h2>Some Handy Resources</h2>

slides.pdf

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9a3a0dbfe344498ca5085869f9227f6c65bcab61cc3ad2adcc1766b08598b7b5
-size 3727642
+oid sha256:a71ff5f7037f072c730b9e60dd70b6bec9c898116844e4f49cc12213a505f7c0
+size 3886471