Instructions to use mitchelldehaven/whisper-medium-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mitchelldehaven/whisper-medium-uk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mitchelldehaven/whisper-medium-uk")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mitchelldehaven/whisper-medium-uk") model = AutoModelForSpeechSeq2Seq.from_pretrained("mitchelldehaven/whisper-medium-uk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): c249dea
Update metadata with huggingface_hub
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README.md
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tags:
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- whisper-event
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---
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model-index:
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- name: whisper-medium-uk
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results:
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- task:
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type: automatic-speech-recognition
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name: Automatic Speech Recognition
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dataset:
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name: mozilla-foundation/common_voice_11_0
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type: mozilla-foundation/common_voice_11_0
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config: uk
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split: test
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metrics:
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- type: wer
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value: 14.55
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name: WER
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---
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tags:
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- whisper-event
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---
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