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README.md
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## Model Description
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This model is designed for sentiment analysis of Greek texts.
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It classifies the sentiment of a given Greek sentence or paragraph into positive, negative, or neutral and also provides the confidence score of each prediction.
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The model is the result of meticulous craftsmanship, carefully handcrafted and fine-tuned. A high-quality and human-curated multilingual dataset, with primary attention on the Greek language, was used to train and validate the model, ensuring that it learns from accurate and relevant examples. A rigorous development process involving multiple iterations of training, testing, and refinement, optimized the model's performance and adapted it to the nuances of the Greek language.
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## Model Details
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## Model Description
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This open-weights model is designed for sentiment analysis of Greek texts.
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It classifies the sentiment of a given Greek sentence or paragraph into positive, negative, or neutral and also provides the confidence score of each prediction.
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The model is the result of meticulous craftsmanship, carefully handcrafted and fine-tuned. A high-quality and human-curated multilingual dataset, with primary attention on the Greek language, was used to train and validate the model, ensuring that it learns from accurate and relevant examples. A rigorous development process involving multiple iterations of training, testing, and refinement, optimized the model's performance and adapted it to the nuances of the Greek language.
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Version 1.1 is non-gated and free to use, using the HuggingFace APIs. See below for an example and the related HF Space for the demo.
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## Model Details
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