Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Chinese
Yue Chinese
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use alvanlii/whisper-small-cantonese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alvanlii/whisper-small-cantonese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="alvanlii/whisper-small-cantonese")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("alvanlii/whisper-small-cantonese") model = AutoModelForSpeechSeq2Seq.from_pretrained("alvanlii/whisper-small-cantonese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#4
by librarian-bot - opened
README.md
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@@ -7,12 +7,13 @@ tags:
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_11_0
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model-index:
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- name: Whisper Small zh-HK - Alvin
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: mozilla-foundation/common_voice_11_0 zh-HK
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type: mozilla-foundation/common_voice_11_0
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split: test
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args: zh-HK
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metrics:
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type: cer
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value: 10.11
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_11_0
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base_model: openai/whisper-small
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model-index:
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- name: Whisper Small zh-HK - Alvin
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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 zh-HK
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type: mozilla-foundation/common_voice_11_0
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split: test
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args: zh-HK
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metrics:
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- type: cer
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value: 10.11
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name: Normalized CER
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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