Automatic Speech Recognition
Transformers
PyTorch
whisper
whisper-medium
asr
zh-TW
Eval Results (legacy)
Instructions to use Jasper881108/whisper-medium-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jasper881108/whisper-medium-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Jasper881108/whisper-medium-zh")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Jasper881108/whisper-medium-zh") model = AutoModelForSpeechSeq2Seq.from_pretrained("Jasper881108/whisper-medium-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): bd6dad4
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README.md
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license: apache-2.0
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tags:
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- whisper
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datasets:
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- mozilla-foundation/common_voice_11_0
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split: test
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metrics:
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- type: wer
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value: 7.38
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name: WER
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license: apache-2.0
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tags:
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- whisper-medium
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- asr
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- zh-TW
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datasets:
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- mozilla-foundation/common_voice_11_0
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split: test
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metrics:
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- type: wer
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value: 7.38
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name: WER
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---
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