Instructions to use Xenova/tiny-random-WhisperForConditionalGeneration_timestamped with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/tiny-random-WhisperForConditionalGeneration_timestamped with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'Xenova/tiny-random-WhisperForConditionalGeneration_timestamped');
Download onnx/encoder_model_quantized.onnx from Xenova/tiny-random-WhisperForConditionalGeneration_timestamped: direct link, hf CLI and curl.
- Browser
- Download file 179 kB
-
https://huggingface.co/Xenova/tiny-random-WhisperForConditionalGeneration_timestamped/resolve/refs%2Fpr%2F1/onnx/encoder_model_quantized.onnx
- Command line
-
hf download hf://Xenova/tiny-random-WhisperForConditionalGeneration_timestamped@refs/pr/1/onnx/encoder_model_quantized.onnx
-
curl -L -o encoder_model_quantized.onnx https://huggingface.co/Xenova/tiny-random-WhisperForConditionalGeneration_timestamped/resolve/refs%2Fpr%2F1/onnx/encoder_model_quantized.onnx
179 kB
- Xet hash:
- 4f7f6fc2a6a0cd32b69d98055be8e97e9d225704f08849fc7d7d536f3c0269ed
- Size of remote file:
- 179 kB
- SHA256:
- abdbb9cd2803830817e20e2760f5bd52905b85db8dcecbb2a6a861de14088337
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