Instructions to use EvgenyShivchenkoUIT/whisper-base-ONNX-multi-uint8-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use EvgenyShivchenkoUIT/whisper-base-ONNX-multi-uint8-merged with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'EvgenyShivchenkoUIT/whisper-base-ONNX-multi-uint8-merged');
Download onnx/encoder_model_uint8.onnx from EvgenyShivchenkoUIT/whisper-base-ONNX-multi-uint8-merged: direct link, hf CLI and curl.
- Browser
- Download file 23.1 MB
-
https://huggingface.co/EvgenyShivchenkoUIT/whisper-base-ONNX-multi-uint8-merged/resolve/main/onnx/encoder_model_uint8.onnx
- Command line
-
hf download hf://EvgenyShivchenkoUIT/whisper-base-ONNX-multi-uint8-merged/onnx/encoder_model_uint8.onnx
-
curl -L -o encoder_model_uint8.onnx https://huggingface.co/EvgenyShivchenkoUIT/whisper-base-ONNX-multi-uint8-merged/resolve/main/onnx/encoder_model_uint8.onnx
23.1 MB
- Xet hash:
- c5e44eb1438d582af1aa721e7f35d8e4e35bd1867973cbb71cce33812b496fbe
- Size of remote file:
- 23.1 MB
- SHA256:
- 2b3d863e8ab891e30e8e7e4d24849ac24f116a6ef1d270477c281f674a922ec4
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