Jean Louis commited on
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b143197
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Updated index.html

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