Text Generation
Transformers
Safetensors
English
mistral
genomics
medical
conversational
text-generation-inference
Inference Endpoints
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@@ -128,7 +128,7 @@ This will inference the model on 4.8GB Vram
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  This model has been developped to show how can a medical LLM adapt itself to identify sequences as TATA/NO TATA
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  The adapter has been trained on a 53.3k rows for only 1 epoch (due to hardware limitations)
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- THIS MODEL IS FOR RESEARCH PURPOSES NOT FOR PRODUCTION
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  ### Recommendations
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  This model has been developped to show how can a medical LLM adapt itself to identify sequences as TATA/NO TATA
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  The adapter has been trained on a 53.3k rows for only 1 epoch (due to hardware limitations)
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+ THIS MODEL IS FOR RESEARCH PURPOSES DO NOT USE IN PRODUCTION
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  ### Recommendations
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