Systran/faster-whisper-tiny.en

automatic-speech-recognition model by Systran

Open original source ↗

From the publisher

Model card & documentation

Source preview

Read the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.

This repository contains the conversion of openai/whisper-tiny.en to the CTranslate2 model format. This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper. The original model was converted with the following command: Note that the model weights are saved…

Systran/faster-whisper-tiny.en on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-02T06:55:32.522Z

Inside the original model card — Document outline
  1. Whisper tiny.en model for CTranslate2
  2. Example
  3. Conversion details
  4. More information

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Links from the model card

References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.

Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

Systran/faster-whisper-tiny.en is a automatic-speech-recognition model repository published by Systran on Hugging Face. The source reports the ctranslate2 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
ctranslate2
Recent downloads (30 days)
257,426
Cumulative likes
10
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
mit
Access
Not gated by Hugging Face
Created
2023-11-23T09:54:25.000Z
Last modified
2023-11-23T10:47:07.000Z

Compatibility and lineage

Reported languages: en

Base-model lineage was not included.

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.

Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-02T06:39:32.133Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related models

jonatasgrosman/wav2vec2-large-xlsr-53-japanese

argmaxinc/whisperkit-coreml

pyannote/speaker-diarization-3.1

openai/whisper-large-v3-turbo

jonatasgrosman/wav2vec2-large-xlsr-53-portuguese

pyannote/speaker-diarization-community-1