dedruck27/whisper-hindi2hinglish-apex-ggml
automatic-speech-recognition model by dedruck27
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Model card & documentation
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A whisper.cpp conversion of Oriserve/Whisper-Hindi2Hinglish-Apex, a fine-tune of Whisper large-v3-turbo that transcribes Hindi / Hindi-English speech as Roman-script Hinglish. All credit for the model goes to Oriserve. This repository only changes the file format. Licence: Apache-2.0, as published by Oriserve; see their model card for details and limitations. Use -l en, as on the original model card. With -l hi the output was worse in testing (one clip produced no text). Tested with the whisper.cpp v1.9.5 whisper-cli on the sample clips in the original repository:…
Read the full model card ↗ · Preview checked 2026-11-09T08:15:17.839Z
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Model overview
dedruck27/whisper-hindi2hinglish-apex-ggml is a automatic-speech-recognition model repository published by dedruck27 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
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-11-09T06:37:48.000Z
- Last modified
- 2026-11-09T06:39:53.000Z
Compatibility and lineage
Reported languages: hi, en
Reported base models: Oriserve/Whisper-Hindi2Hinglish-Apex
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 2026-11-09T06:55:49.891Z. 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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