Xenova/whisper-tiny
automatic-speech-recognition model by Xenova
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Model card & documentation
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https://huggingface.co/openai/whisper-tiny with ONNX weights to be compatible with Transformers.js. If you haven't already, you can install the Transformers.js JavaScript library from NPM using: Example: Transcribe audio from a URL. Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction.…
Read the full model card ↗ · Preview checked 2026-10-30T14:20:48.262Z
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Model overview
Xenova/whisper-tiny is a automatic-speech-recognition model repository published by Xenova on Hugging Face. The source reports the transformers.js library.
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
- transformers.js
- Recent downloads (30 days)
- 552,554
- Cumulative likes
- 19
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- WhisperForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2023-05-03T20:17:31.000Z
- Last modified
- 2025-12-16T18:46:42.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: openai/whisper-tiny
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
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:32.899Z. 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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