Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
ONNX
Safetensors
Transformers.js
English
whisper
audio
Eval Results
Instructions to use distil-whisper/distil-small.en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use distil-whisper/distil-small.en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="distil-whisper/distil-small.en")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("distil-whisper/distil-small.en") model = AutoModelForSpeechSeq2Seq.from_pretrained("distil-whisper/distil-small.en", device_map="auto") - Transformers.js
How to use distil-whisper/distil-small.en with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'distil-whisper/distil-small.en'); - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from distil-whisper/distil-small.en: direct link, hf CLI and curl.
- Browser
- Download file 332 MB
-
https://huggingface.co/distil-whisper/distil-small.en/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://distil-whisper/distil-small.en/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/distil-whisper/distil-small.en/resolve/main/pytorch_model.bin
332 MB
- Xet hash:
- e236c210957fd84bfd2db197c13a148bebd943212c598d3e7d16c4f75d95901a
- Size of remote file:
- 332 MB
- SHA256:
- f1b67c5ed4359d67d30a373bd619a33daa95e497ab177b588450a0cd6a442462
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