Mvkd2k06/indic-transcribe-core-onnx
automatic-speech-recognition model by Mvkd2k06
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Model card & documentation
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Built with Indic-Transcribe-core from Bodhan AI / AI4Bharat. Derived from NVIDIA Canary-1B-v2. This is a format conversion, not a fine-tune. Pinned upstream revision: e083ab7dfeeddcb5c0b4a2d7df53f53e7b0f1537. Made for Muesli on Windows, which runs it through ONNX Runtime in C#. The graphs are ordinary ONNX and can be used with any ONNX Runtime 1.24 or newer. Each tar holds one directory with encoder..onnx, decoder..onnx (each with one external .onnx.data file), tokenizer.json, the licence and the notice. Checked against the upstream PyTorch wrapper (IndicTranscribe, native mode) on twelve clips of 1.6 to 14.2 seconds: two English clips synthesised with Windows text-to-speech, and five Hindi and five Tamil clips from the FLEURS dev set. The FP32 export, the INT8 variant on CPU and the FP16 variant on an NVIDIA GPU (CUDA) all reproduce the upstream transcripts and identified languages exactly, both in Python and through Muesli's C# runtime (ONNX Runtime 1.24). Core renders English terms…
Read the full model card ↗ · Preview checked 2026-10-30T03:06:23.785Z
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Model overview
Mvkd2k06/indic-transcribe-core-onnx is a automatic-speech-recognition model repository published by Mvkd2k06 on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- automatic-speech-recognition
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-10-13T06:35:41.000Z
- Last modified
- 2026-10-13T06:41:45.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: bodhan-ai/indic-transcribe-core
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-13T06:41:58.956Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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