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--- |
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language: |
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- en |
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- zh |
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- de |
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- es |
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- ru |
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- ko |
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- fr |
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- ja |
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- pt |
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- tr |
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- pl |
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- ca |
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- nl |
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- ar |
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- sv |
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- it |
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- id |
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- hi |
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- fi |
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- vi |
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- he |
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- uk |
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- el |
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- ms |
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- cs |
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- ro |
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- da |
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- hu |
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- ta |
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- no |
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- th |
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- ur |
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- hr |
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- bg |
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- lt |
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- la |
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- mi |
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- ml |
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- cy |
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- sk |
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- te |
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- fa |
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- lv |
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- bn |
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- sr |
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- az |
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- sl |
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- kn |
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- et |
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- mk |
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- br |
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- eu |
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- is |
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- hy |
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- ne |
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- mn |
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- bs |
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- kk |
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- sq |
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- sw |
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- gl |
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- mr |
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- pa |
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- si |
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- km |
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- sn |
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- yo |
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- so |
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- af |
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- oc |
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- ka |
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- be |
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- tg |
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- sd |
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- gu |
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- am |
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- yi |
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- lo |
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- uz |
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- fo |
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- ht |
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- ps |
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- tk |
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- nn |
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- mt |
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- sa |
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- lb |
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- my |
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- bo |
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- tl |
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- mg |
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- as |
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- tt |
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- haw |
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- ln |
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- ha |
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- ba |
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- jw |
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- su |
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tags: |
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- audio |
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- automatic-speech-recognition |
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- hf-asr-leaderboard |
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widget: |
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- example_title: Librispeech sample 1 |
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src: https://cdn-media.huggingface.co/speech_samples/sample1.flac |
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- example_title: Librispeech sample 2 |
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src: https://cdn-media.huggingface.co/speech_samples/sample2.flac |
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pipeline_tag: automatic-speech-recognition |
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license: apache-2.0 |
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--- |
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# Whisper |
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**Version 3 of OpenAI's Whisper Large model converted from [https://openaipublic.azureedge.net/main/whisper/models/e5b1a55b89c1367dacf97e3e19bfd829a01529dbfdeefa8caeb59b3f1b81dadb/large-v3.pt](https://openaipublic.azureedge.net/main/whisper/models/e5b1a55b89c1367dacf97e3e19bfd829a01529dbfdeefa8caeb59b3f1b81dadb/large-v3.pt) using HF's [conversion script](https://github.com/huggingface/transformers/blob/main/src/transformers/models/whisper/convert_openai_to_hf.py).** |
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Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours |
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of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains **without** the need |
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for fine-tuning. |
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Whisper was proposed in the paper [Robust Speech Recognition via Large-Scale Weak Supervision](https://arxiv.org/abs/2212.04356) |
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by Alec Radford et al. from OpenAI. The original code repository can be found [here](https://github.com/openai/whisper). |
