Instructions to use Xenova/whisper-tiny.en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/whisper-tiny.en with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');
Download onnx/encoder_model_quantized.onnx from Xenova/whisper-tiny.en: direct link, hf CLI and curl.
- Browser
- Download file 10.1 MB
-
https://huggingface.co/Xenova/whisper-tiny.en/resolve/main/onnx/encoder_model_quantized.onnx
- Command line
-
hf download hf://Xenova/whisper-tiny.en/onnx/encoder_model_quantized.onnx
-
curl -L -o encoder_model_quantized.onnx https://huggingface.co/Xenova/whisper-tiny.en/resolve/main/onnx/encoder_model_quantized.onnx
10.1 MB
- Xet hash:
- 6afcce097dcf897f6df877ac776fe2e62710be99499d80e3c0a7e00d54eb602d
- Size of remote file:
- 10.1 MB
- SHA256:
- 8cc3c6f8563d1b3fbd2c5af9f64c2bed8b020bc593c402d1ef53b9f08fbf1b90
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