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  # SeELLama (Semantic Extraction LLama)
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- Model based on LLama2-7b fine-tuned with `DehydratedWater42/semantic_relations_extraction` dataset.
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- The purpose of this model is to extract semantic relations from text in structured way.
 
 
 
 
 
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  ### This is just adapter for `NousResearch/Llama-2-7b-hf`
 
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  # SeELLama (Semantic Extraction LLama)
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+ Model is based on LLama2-7b and fine-tuned with `DehydratedWater42/semantic_relations_extraction` dataset.
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+ The purpose of this model is to extract semantic relations from text in a structured way.
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+ #### Simplified Example:
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+ - **Initial Text**: "While there is beautiful weather outside the building, from the window we can see a car. And what's the most annoying, pigeons love to sit on that car."
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+ - **Entities**: ["pigeon", "car", "building"]
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+ - **Relations between entities**: {"pigeon -> car": "pigeon sits on the car", "car -> building": "car is parked outside the building"}
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  ### This is just adapter for `NousResearch/Llama-2-7b-hf`