Instructions to use Xenova/whisper-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/whisper-base with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'Xenova/whisper-base');
Download onnx/decoder_model_quantized.onnx from Xenova/whisper-base: direct link, hf CLI and curl.
- Browser
- Download file 53.3 MB
-
https://huggingface.co/Xenova/whisper-base/resolve/main/onnx/decoder_model_quantized.onnx
- Command line
-
hf download hf://Xenova/whisper-base/onnx/decoder_model_quantized.onnx
-
curl -L -o decoder_model_quantized.onnx https://huggingface.co/Xenova/whisper-base/resolve/main/onnx/decoder_model_quantized.onnx
53.3 MB
- Xet hash:
- acab547f33688e59e30021fde7a03c596b5a380a4105d4f9e0917b8d78503631
- Size of remote file:
- 53.3 MB
- SHA256:
- 96fc8b98013e0f9461159a7b0d57922e170b15767db8afef1ea7880f1deef33b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.