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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("distil-whisper/distil-small.en") model = AutoModelForMultimodalLM.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
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: mean_wer | |
| value: 8.5675 | |
| date: '2023-12-06' | |
| source: | |
| url: https://huggingface.co/hf-audio | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: rtfx | |
| value: 331.8934863 | |
| date: '2023-12-06' | |
| source: | |
| url: https://huggingface.co/hf-audio | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: ami_wer | |
| value: 16.16 | |
| date: '2023-12-06' | |
| source: | |
| url: https://huggingface.co/hf-audio | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: earnings22_wer | |
| value: 13.15 | |
| date: '2023-12-06' | |
| source: | |
| url: https://huggingface.co/hf-audio | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: gigaspeech_wer | |
| value: 10.87 | |
| date: '2023-12-06' | |
| source: | |
| url: https://huggingface.co/hf-audio | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: librispeech_clean_wer | |
| value: 3.48 | |
| date: '2023-12-06' | |
| source: | |
| url: https://huggingface.co/hf-audio | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: librispeech_other_wer | |
| value: 7.73 | |
| date: '2023-12-06' | |
| source: | |
| url: https://huggingface.co/hf-audio | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: spgispeech_wer | |
| value: 3.82 | |
| date: '2023-12-06' | |
| source: | |
| url: https://huggingface.co/hf-audio | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: tedlium_wer | |
| value: 4.54 | |
| date: '2023-12-06' | |
| source: | |
| url: https://huggingface.co/hf-audio | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: voxpopuli_wer | |
| value: 8.79 | |
| date: '2023-12-06' | |
| source: | |
| url: https://huggingface.co/hf-audio | |
| name: open-asr-leaderboard | |
| user: hf-audio | |