---
language:
- en
- zh
- de
- es
- ru
- ko
- fr
- ja
- pt
- tr
- pl
- ca
- nl
- ar
- sv
- it
- id
- hi
- fi
- vi
- he
- uk
- el
- ms
- cs
- ro
- da
- hu
- ta
- "no"
- th
- ur
- hr
- bg
- lt
- la
- mi
- ml
- cy
- sk
- te
- fa
- lv
- bn
- sr
- az
- sl
- kn
- et
- mk
- br
- eu
- is
- hy
- ne
- mn
- bs
- kk
- sq
- sw
- gl
- mr
- pa
- si
- km
- sn
- yo
- so
- af
- oc
- ka
- be
- tg
- sd
- gu
- am
- yi
- lo
- uz
- fo
- ht
- ps
- tk
- nn
- mt
- sa
- lb
- my
- bo
- tl
- mg
- as
- tt
- haw
- ln
- ha
- ba
- jw
- su
tags:
- audio
- automatic-speech-recognition
- eole
- whisper
license: apache-2.0
base_model: openai/whisper-small
pipeline_tag: automatic-speech-recognition
---

# Whisper Small (eole)

This is [openai/whisper-small](https://huggingface.co/openai/whisper-small) converted to [eole](https://github.com/eole-nlp/eole) format using `eole convert --model_dir openai/whisper-small`.

No weights were modified — this is a format conversion only.

## Model details

| | |
|---|---|
| **Original model** | [openai/whisper-small](https://huggingface.co/openai/whisper-small) |
| **Parameters** | 244M |
| **Encoder layers** | 12 |
| **Decoder layers** | 12 |
| **Hidden size** | 768 |
| **Attention heads** | 12 |
| **Mel bins** | 80 |
| **Vocab size** | 51,865 |
| **License** | Apache 2.0 |

## Usage

```bash
pip install eole[wer]
```

### Transcribe

```bash
eole predict \
  -config eval_config.yaml \
  -model_path whisper-small-eole \
  -src audio_files.txt \
  -output transcriptions.txt \
  -language en \
  -task transcribe \
  -gpu_ranks 0
```

## Evaluation

All evaluations use beam size 5.

| Benchmark | WER |
|---|---|
| LibriSpeech test-clean | 3.30% |

## Conversion

```bash
eole convert --model_dir openai/whisper-small --output whisper-small-eole
```

## Citation

```bibtex
@misc{radford2023robust,
      title={Robust Speech Recognition via Large-Scale Weak Supervision},
      author={Alec Radford and Jong Wook Kim and Tao Xu and Greg Brockman and Christine McLeavey and Ilya Sutskever},
      year={2023},
      eprint={2212.04356},
      archivePrefix={arXiv},
      primaryClass={eess.AS}
}
```