insert "hero" image

Author: steven-ja

content/posts/machine learning/deep learning/NLP/Gemma2+RAG/index.md

@@ -8,7 +8,7 @@ menu:
     identifier: gemma2_rag
     parent: nlp
     weight: 9
-hero: mermaid-diagram.svg
+hero: mermaid-diagram-hd.png
 tags: ["Deep Learning", "NLP", "Machine Learning"]
 categories: ["NLP"]
 ---
@@ -88,11 +88,6 @@ from llama_index.vector_stores.faiss import FaissVectorStore
 import faiss
 ```
 
-    /opt/conda/lib/python3.10/site-packages/pydantic/_internal/_fields.py:161: UserWarning: Field "model_id" has conflict with protected namespace "model_".
-    
-    You may be able to resolve this warning by setting `model_config['protected_namespaces'] = ()`.
-      warnings.warn(
-    
 
 ## Data Loading
 * Use *SimpleDirectoryReader* from llama_index.
@@ -114,48 +109,6 @@ embed_model = HuggingFaceEmbedding(model_name="sentence-transformers/all-MiniLM-
 ```
 
 
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 ## 4. Language Model Setup and Loading
 * It uses the "google/gemma-2-9b-it" model, a powerful instruction-tuned language model.

content/posts/machine learning/deep learning/NLP/Gemma2+RAG/mermaid-diagram-hd.png

@@ -480,7 +480,7 @@
   <div class="card">
     <div class="card-head">
       <a href="/posts/machine-learning/deep-learning/nlp/gemma2&#43;rag/" class="post-card-link">
-        <img class="card-img-top" src='/posts/machine-learning/deep-learning/nlp/gemma2&#43;rag/mermaid-diagram.svg' alt="Hero Image">
+        <img class="card-img-top" src='/posts/machine-learning/deep-learning/nlp/gemma2&#43;rag/mermaid-diagram-hd.png' alt="Hero Image">
       </a>
     </div>
     <div class="card-body">

content/posts/machine learning/deep learning/NLP/Gemma2+RAG/mermaid-diagram.png

@@ -491,7 +491,7 @@
   <div class="content">
     <div class="container p-0 read-area">
 
-      <div class="hero-area col-sm-12" id="hero-area" style='background-image: url(/posts/machine-learning/deep-learning/nlp/gemma2&#43;rag/mermaid-diagram.svg);'>
+      <div class="hero-area col-sm-12" id="hero-area" style='background-image: url(/posts/machine-learning/deep-learning/nlp/gemma2&#43;rag/mermaid-diagram-hd.png);'>
       </div>
 
 
@@ -575,12 +575,7 @@ <h2 id="2-setup-and-import">2. Setup and Import</h2>
 </span></span><span style="display:flex;"><span>
 </span></span><span style="display:flex;"><span><span style="color:#f92672">from</span> llama_index.vector_stores.faiss <span style="color:#f92672">import</span> FaissVectorStore
 </span></span><span style="display:flex;"><span><span style="color:#f92672">import</span> faiss
-</span></span></code></pre></div><pre><code>/opt/conda/lib/python3.10/site-packages/pydantic/_internal/_fields.py:161: UserWarning: Field &quot;model_id&quot; has conflict with protected namespace &quot;model_&quot;.
-
-You may be able to resolve this warning by setting `model_config['protected_namespaces'] = ()`.
-  warnings.warn(
-</code></pre>
-<h2 id="data-loading">Data Loading</h2>
+</span></span></code></pre></div><h2 id="data-loading">Data Loading</h2>
 <ul>
 <li>Use <em>SimpleDirectoryReader</em> from llama_index.</li>
 </ul>
@@ -593,49 +588,7 @@ <h2 id="data-loading">Data Loading</h2>
 </ul>
 <div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-python" data-lang="python"><span style="display:flex;"><span><span style="color:#75715e"># Load embedding model</span>
 </span></span><span style="display:flex;"><span>embed_model <span style="color:#f92672">=</span> HuggingFaceEmbedding(model_name<span style="color:#f92672">=</span><span style="color:#e6db74">&#34;sentence-transformers/all-MiniLM-L6-v2&#34;</span>)
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-<h2 id="4-language-model-setup-and-loading">4. Language Model Setup and Loading</h2>
+</span></span></code></pre></div><h2 id="4-language-model-setup-and-loading">4. Language Model Setup and Loading</h2>
 <ul>
 <li>It uses the &ldquo;google/gemma-2-9b-it&rdquo; model, a powerful instruction-tuned language model.</li>
 <li>It configures 8-bit quantization to reduce memory usage</li>