Updated index.html

index.html

@@ -57,15 +57,17 @@ and tools to download and use models from the Hugging Face Hub.</p>
 
 <h6>Installation</h6>
 
-<p>Run the following command in your terminal or command prompt:
-<code>bash
+<p>Run the following command in your terminal or command prompt:</p>
+
+<p><code>bash
 pip install transformers
 </code></p>
 
 <h6>Verify Installation</h6>
 
-<p>To confirm the installation was successful, run:
-<code>bash
+<p>To confirm the installation was successful, run:</p>
+
+<p><code>bash
 python -c "from transformers import pipeline; print('Installation successful!')"
 </code></p>
 
@@ -77,15 +79,17 @@ python -c "from transformers import pipeline; print('Installation successful!')"
 
 <h6>Installation</h6>
 
-<p>Run the following command:
-<code>bash
+<p>Run the following command:</p>
+
+<p><code>bash
 pip install huggingface_hub
 </code></p>
 
 <h6>Verify Installation</h6>
 
-<p>After installation, check if the <code>huggingface-cli</code> is available:
-<code>bash
+<p>After installation, check if the <code>huggingface-cli</code> is available:</p>
+
+<p><code>bash
 huggingface-cli --help
 </code></p>
 
@@ -99,22 +103,25 @@ huggingface-cli --help
 
 <h6>Log in to Hugging Face</h6>
 
-<p>To log in to your Hugging Face account:
-<code>bash
+<p>To log in to your Hugging Face account:</p>
+
+<p><code>bash
 huggingface-cli login
 </code></p>
 
 <h6>Download a Model</h6>
 
-<p>To download a model (e.g., <code>gpt2</code>):
-<code>bash
+<p>To download a model (e.g., <code>gpt2</code>):</p>
+
+<p><code>bash
 huggingface-cli download gpt2
 </code></p>
 
 <h6>List Available Commands</h6>
 
-<p>To see all available commands and options:
-<code>bash
+<p>To see all available commands and options:</p>
+
+<p><code>bash
 huggingface-cli --help
 </code></p>
 
@@ -124,18 +131,17 @@ huggingface-cli --help
 
 <p>Here’s an example of downloading and using a model in Python:</p>
 
-<p>```python
-from transformers import pipeline</p>
-
-<h1>Download and load a model</h1>
+<pre>
+from transformers import pipeline
 
-<p>generator = pipeline(&ldquo;text-generation&rdquo;, model=&ldquo;gpt2&rdquo;)</p>
+# Download and load a model
+generator = pipeline("text-generation", model="gpt2")
 
-<h1>Generate text</h1>
-
-<p>output = generator(&ldquo;Hello, how are you?&rdquo;, max_length=50)
+# Generate text
+output = generator("Hello, how are you?", max_length=50)
 print(output)
-```</p>
+</pre>
+
 
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