Automatic Speech Recognition
Transformers
whisper_pinyin
feature-extraction
whisper
pinyin
speech-recognition
mandarin
custom_code
Instructions to use walston/whisper-pinyin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use walston/whisper-pinyin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="walston/whisper-pinyin", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("walston/whisper-pinyin", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Whisper-Pinyin
Cross-augmentation continuous Whisper-Pinyin checkpoint.
from transformers import AutoModel
model = AutoModel.from_pretrained(
"walston/whisper-pinyin",
trust_remote_code=True,
)
This repository stores the checkpoint separately from the demo Space. The demo Space loads this model repo at runtime.
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