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whisper-tiny.en-onnx
latentdivergence/whisper-tiny.en-onnx
whisper-tiny.en-onnx is a automatic speech recognition model from latentdivergence. Use it when you need speech turned into text. It is set up for onnx. The card lists the license as apache-2.0.
A pinned copy of the quantized ONNX export of openai/whisper-tiny.en, used by the FixFlix Android app for on-device caption generation.
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.onnx40.9 MB · 95%
At a glance
- Task
- Automatic Speech Recognition
- Library
- onnx
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Aug 2, 2026
- Updated
- Aug 2, 2026
- SHA
- 2c3adb0d
Base models
Model card
From the Hugging Face model README
whisper-tiny.en (ONNX, quantized) — FixFlix build
A pinned copy of the quantized ONNX export of openai/whisper-tiny.en, used by
the FixFlix Android app for on-device caption generation.
This mirror exists so the app does not depend on a third-party repository staying available or unchanged. The weights are unmodified.
Contents
| File | Size | Purpose |
|---|---|---|
onnx/encoder_model_quantized.onnx | 9.7 MB | Audio encoder |
onnx/decoder_model_merged_quantized.onnx | 29.3 MB | Text decoder with merged KV cache |
tokenizer.json | 2.1 MB | BPE tokenizer |
config.json, generation_config.json, preprocessor_config.json | small | Model and decoding parameters |
Total ≈ 41 MB. The app downloads these on first caption run rather than bundling them, and caches them in app storage.
Expected input
16 kHz mono audio, converted to an 80-bin log-mel spectrogram (25 ms window, 10 ms hop) — Whisper's standard preprocessing. Feeding a different sample rate produces fluent but incorrect transcription rather than an error.
Attribution and licence
- Base model: openai/whisper-tiny.en (MIT)
- ONNX export quantized by Xenova/whisper-tiny.en (Apache-2.0)
Redistributed under Apache-2.0. No changes were made to the model weights.
- Task
- Automatic Speech Recognition
- Library
- onnx
- Type
- whisper
- License
- apache-2.0
- Created
- Aug 2, 2026
- Updated
- Aug 2, 2026