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| base_model: unsloth/Qwen2.5-1.5B-Instruct |
| tags: |
| - text-generation-inference |
| - transformers |
| - unsloth |
| - qwen2.5 |
| license: apache-2.0 |
| language: |
| - en |
| - hi |
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| As calling operations scale, it becomes clear that dialing and talking is not enough. |
| 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) |
| • Conversation summaries |
| • 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 |
| - **License:** apache-2.0 |
| - **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) |
| [<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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