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README.md
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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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- **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`
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- **Get SeELLama as Safetensors:** [DehydratedWater42/SeELLama](https://huggingface.co/DehydratedWater42/SeELLama)
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---
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# SeELLama (Semantic Extraction LLama)
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Model is based on LLama2-7b and fine-tuned with the `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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- **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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**Note:** The text example above is **too short** for the actual model; please use **at least 500-token text** segments for extraction to avoid hallucinations.
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### This is just adapter for `NousResearch/Llama-2-7b-hf`
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- **Get SeELLama as Safetensors:** [DehydratedWater42/SeELLama](https://huggingface.co/DehydratedWater42/SeELLama)
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