Instructions to use spycsh/shanghainese-wav2vec-3800 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spycsh/shanghainese-wav2vec-3800 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="spycsh/shanghainese-wav2vec-3800")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("spycsh/shanghainese-wav2vec-3800") model = AutoModelForCTC.from_pretrained("spycsh/shanghainese-wav2vec-3800", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bd2b421f0f014aaafdec683c3251e8210c9fc35392f79601a889460c04e9d38
- Size of remote file:
- 5.18 kB
- SHA256:
- 5f4f222178d8fb208a4843f42208ac176b82f7f91eecbacccc925ead2c2c3edd
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