React Native Executorch Whisper Tiny.en Alternatives

This repository provides the Whisper-tiny model converted to ExecuTorch .pte format for use in React Native applications. It supports multiple backends including XNNPACK, CoreML, and MLX. The model enables on-device automatic speech recognition within mobile apps built with React Native and the ExecuTorch library.

whisper-tiny.en is a highly optimized English-only version of OpenAI's Whisper model converted by Xenova for ONNX Runtime. It enables fast, local speech recognition in web and Node.js environments without requiring large model downloads.

openai/whisper-tiny.en is the smallest English-only variant of OpenAI's Whisper automatic speech recognition model. It converts English audio into text with high accuracy while using minimal computational resources. Hosted on Hugging Face, it is widely used for testing, research, and lightweight transcription applications.

Whisper Tiny is an open-source automatic speech recognition (ASR) model developed by OpenAI. It enables developers to transcribe audio files into text across multiple languages, optimized for lightweight and efficient inference. The model is suitable for integration into speech-to-text pipelines and offline transcription tools.

Xenova/whisper-tiny provides a browser-compatible version of OpenAI's Whisper tiny model using ONNX and Transformers.js. It enables client-side automatic speech recognition directly in web applications without sending audio to external servers. The model is optimized for low-resource environments and can be used via npm in any JavaScript or TypeScript project.

This is a converted version of OpenAI's Whisper-small model exported to ONNX format for use with Transformers.js and other ONNX runtimes. It performs automatic speech recognition, converting spoken audio into text in multiple languages. The model is designed for integration into web applications and environments where native PyTorch is not suitable.

whisper-small is an open-source automatic speech recognition model developed by OpenAI. It supports multilingual audio transcription and is suitable for developers and researchers building speech-to-text applications. The model can be fine-tuned and deployed locally or via API for various audio processing tasks.

Tiny Random Whisper is a randomly initialized model based on the Whisper architecture hosted on Hugging Face. It carries the tags safetensors and whisper and is stored in the optimum-intel-internal-testing organization namespace. The repository was created on 2025-10-21 and last modified on 2026-06-17. It has recorded 223277 recent downloads and 984493 downloads over its lifetime. The model uses a Safetensors format for weights and is publicly accessible without gating. Its tokenizer configuration defines eos_token, pad_token, and unk_token all as <|endoftext|. The entry appears under the Hugging Face Models section and is marked as a model repoType. Evidence indicates it serves internal testing purposes for the Optimum Intel team rather than general or production deployment. The model is delivered as a downloadable repository on the Hugging Face platform. No specific licensing details, inference providers, or additional capabilities are stated in the available metadata. It functions as a minimal fixture for pipeline and hardware validation within the Whisper model class.