Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Vietnamese
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use joey234/whisper-medium-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joey234/whisper-medium-vi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="joey234/whisper-medium-vi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("joey234/whisper-medium-vi") model = AutoModelForSpeechSeq2Seq.from_pretrained("joey234/whisper-medium-vi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model (#2)
Browse files- Librarian Bot: Add base_model information to model (9e8da4395e5da0c989493159f463eac39d8d9d58)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
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- mozilla-foundation/common_voice_11_0
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metrics:
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- wer
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model-index:
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- name: Whisper Medium Vietnamese
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results:
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- mozilla-foundation/common_voice_11_0
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metrics:
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- wer
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base_model: openai/whisper-medium
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model-index:
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- name: Whisper Medium Vietnamese
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results:
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