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The model was built using the Sentence Transformer library, which provides an easy-to-use interface for working with sentence embeddings, including pre-trained models.
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The model was built using the Sentence Transformer library, which provides an easy-to-use interface for working with sentence embeddings, including pre-trained models.
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In addition to **fabelous-mini-embedder**, we also have a proprietary model called **fabelous-embedder-base**. They are trained on a vast dataset covering various programming languages, including:
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In addition to **fabelous-mini-embedder**, there is also have a proprietary model called **fabelous-embedder-base**. Both models are trained on a vast dataset covering various programming languages, including:
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- Python
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- Python
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- Java
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- Java
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## Future Improvements
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## Future Improvements
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We are currently working on the second generation of our model, focusing on:
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The second generation is in the works, focusing on:
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- **Enhanced Multilingual Support:** Adding support for German in addition to English.
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- **Enhanced Multilingual Support:** Adding support for German in addition to English.
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- **Expanded Dataset:** Increasing the code dataset significantly to improve model performance and accuracy.
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- **Expanded Dataset:** Increasing the code dataset significantly to improve model performance and accuracy.
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We welcome contributions from the community to help us achieve these goals!
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## Installation
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## Installation
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To install the required libraries, run:
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To install the required libraries, run:
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