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")# 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") - 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
Add Open ASR Leaderboard evaluation results
#10
by SaylorTwift HF Staff - opened
No description provided.
Steveeeeeeen changed pull request status to merged