Instructions to use markusingvarsson/whisper-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use markusingvarsson/whisper-test with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'markusingvarsson/whisper-test');
Download onnx/encoder_model_quantized.onnx from markusingvarsson/whisper-test: direct link, hf CLI and curl.
- Browser
- Download file 23.1 MB
-
https://huggingface.co/markusingvarsson/whisper-test/resolve/main/onnx/encoder_model_quantized.onnx
- Command line
-
hf download hf://markusingvarsson/whisper-test/onnx/encoder_model_quantized.onnx
-
curl -L -o encoder_model_quantized.onnx https://huggingface.co/markusingvarsson/whisper-test/resolve/main/onnx/encoder_model_quantized.onnx
23.1 MB
- Xet hash:
- f09b8d5e851bac32d02f9891e7b7a06b9a55850ffdd783783888b5db6ec9397c
- Size of remote file:
- 23.1 MB
- SHA256:
- 2782ee3ea2734baf5bbf725835d0872c6ad4982d15f16495bf44f120417263dd
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