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README.md
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Word Of Prompt
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**Overview:**
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**Overview:**
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"Open Sesame" is an advanced open-source model designed to detect users' buying intentions from textual data.
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LABEL 0 = User hasn't buying intentions.
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LABEL 1 = User has buying intentions.
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**Core Features:**
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- **Intent Detection:** Utilizes a fine-tuned version of RoBERTa to analyze text and identify potential buying signals, enhancing the accuracy and relevance of generated insights.
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- **Integration Capability:** Engineered to be seamlessly integrated into any LLM or AI agent, "Open Sesame" offers a plug-and-play solution for developers looking to enhance e-commerce and retail applications.
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# How to interpretate the output
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LABEL 0 = User hasn't buying intentions.
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LABEL 1 = User has buying intentions.
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# Word Of Prompt
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**Overview:**
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**Overview:**
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"Open Sesame" is an advanced open-source model designed to detect users' buying intentions from textual data.
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**Core Features:**
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- **Intent Detection:** Utilizes a fine-tuned version of RoBERTa to analyze text and identify potential buying signals, enhancing the accuracy and relevance of generated insights.
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- **Integration Capability:** Engineered to be seamlessly integrated into any LLM or AI agent, "Open Sesame" offers a plug-and-play solution for developers looking to enhance e-commerce and retail applications.
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