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--- |
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base_model: unsloth/Qwen2.5-1.5B-Instruct |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- qwen2.5 |
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license: apache-2.0 |
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language: |
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- en |
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- hi |
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--- |
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As calling operations scale, it becomes clear that dialing and talking is not enough. |
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Even with a strong voice AI + telephony architecture, the real value shows up only when post-call actions are captured and executed in a robust, dependable and consistent way. Closing the loop matters more than just connecting the call. |
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To support that, we’re releasing our Hindi + English transcript analytics model tuned specifically for call transcripts: |
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You can plug it into your calling or voice AI stack to automatically extract: |
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• Enum-based classifications (e.g., call outcome, intent, disposition) |
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• Conversation summaries |
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• Action items / follow-ups |
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It’s built to handle real-world Hindi, English, and mixed Hinglish calls, including noisy transcripts. |
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- **Developed by:** RinggAI |
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- **License:** apache-2.0 |
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- **Finetuned from model :** unsloth/Qwen2.5-1.5B-Instruct |
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[<img style="border-radius: 20px;" src="https://storage.googleapis.com/desivocal-prod/desi-vocal/logo.png" width="200"/>](https://ringg.ai) |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
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