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--- |
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title: SmolLM2 135 Text Generator |
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emoji: 🐢 |
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colorFrom: green |
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colorTo: green |
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sdk: streamlit |
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sdk_version: 1.41.1 |
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app_file: app.py |
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pinned: false |
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license: apache-2.0 |
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short_description: Text generation using SmolLM2-135 model |
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--- |
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# SmolLM2-135 Text Generator |
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This is a Streamlit-based text generation application using a fine-tuned SmolLM2-135 model. The application allows users to: |
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- Input custom prompts |
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- Control the length of generated text |
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- Generate multiple text sequences |
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- View token information |
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## Features |
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- Interactive text input |
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- Adjustable text generation length |
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- Multiple sequence generation |
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- Real-time text generation |
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- Token information display |
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## Usage |
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1. Enter your prompt in the text area |
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2. Adjust the length of text to be generated |
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3. Select the number of sequences to generate |
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4. Click "Generate" to create text |
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## Technical Details |
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The application uses: |
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- SmolLM2-135 model architecture |
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- Tiktoken tokenizer |
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- PyTorch for model inference |
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- Streamlit for the user interface |
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