Add ModernBERT Masked Language Modeling notebook

notebooks/modernbert-masked-language-modeling/README.md

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+# ModernBERT Masked Language Modeling with OpenVINO
+
+This notebook demonstrates how to convert and run the [ModernBERT](https://huggingface.co/blog/modernbert) model using OpenVINO. ModernBERT is an encoder-only model optimized for long-context understanding (up to 8k tokens) and efficiency.
+
+## Notebook Contents
+
+The notebook covers:
+1.  Loading **ModernBERT** from Hugging Face.
+2.  Converting the PyTorch model to **OpenVINO IR** format.
+3.  Running inference on CPUs and other Intel hardware.
+4.  Launch an interactive **Gradio** demo for masked language modeling.
+
+## Installation Instructions
+
+1.  Clone the repository:
+    ```bash
+    git clone https://github.com/openvinotoolkit/openvino_notebooks.git
+    cd openvino_notebooks
+    ```
+
+2.  Install dependencies:
+    ```bash
+    pip install -r .ci/dev-requirements.txt
+    ```
+
+3.  Run the notebook:
+    ```bash
+    jupyter lab notebooks/modernbert-masked-language-modeling/modernbert-masked-language-modeling.ipynb
+    ```
+
+<img referrerpolicy="no-referrer-when-downgrade" src="https://static.scarf.sh/a.png?x-pxid=5b5a4db0-7875-4bfb-bdbd-01698b5b1a77&file=notebooks/modernbert-masked-language-modeling/README.md" />

notebooks/modernbert-masked-language-modeling/gradio_helper.py

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+import gradio as gr
+
+
+def make_demo(fn, title, description):
+    with gr.Blocks() as demo:
+        gr.Markdown(f"# {title}")
+        gr.Markdown(description)
+
+        with gr.Row():
+            with gr.Column():
+                input_text = gr.Textbox(
+                    label="Input Text",
+                    placeholder="Enter text with [MASK] to predict...",
+                    lines=2,
+                    info="Use the [MASK] token in your sentence to mask a word.",
+                )
+                submit_btn = gr.Button("Predict Mask", variant="primary")
+
+                examples = gr.Examples(
+                    examples=[
+                        ["The capital of France is [MASK]."],
+                        ["The quick brown fox jumps over the lazy [MASK]."],
+                        ["I am going to the [MASK] to buy some milk."],
+                        ["ModernBERT is a state-of-the-art model for natural language [MASK]."],
+                        ["Please [MASK] the door when you leave."],
+                        ["The weather today is [MASK] and sunny."],
+                    ],
+                    inputs=[input_text],
+                )
+
+            with gr.Column():
+                output_label = gr.Label(num_top_classes=5, label="Top 5 Predictions")
+
+        submit_btn.click(fn, inputs=[input_text], outputs=[output_label])
+
+    return demo