Automatic Speech Recognition
Transformers
PyTorch
Ukrainian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use arampacha/whisper-large-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arampacha/whisper-large-uk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="arampacha/whisper-large-uk")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("arampacha/whisper-large-uk") model = AutoModelForSpeechSeq2Seq.from_pretrained("arampacha/whisper-large-uk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
fix readme
Browse files
README.md
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dataset:
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name: Common Voice 11.0
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type: mozilla-foundation/common_voice_11_0
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config:
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split: test
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args:
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metrics:
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- name: Wer
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type: wer
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dataset:
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name: 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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args: uk
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metrics:
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- name: Wer
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type: wer
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