Instructions to use GleamEyeBeast/Mandarin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GleamEyeBeast/Mandarin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GleamEyeBeast/Mandarin")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("GleamEyeBeast/Mandarin") model = AutoModelForCTC.from_pretrained("GleamEyeBeast/Mandarin", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abe7d6b762724a3bcf81416261fef362eb44ba9b19881c9e6b90f5dd50a84886
- Size of remote file:
- 1.27 GB
- SHA256:
- b97b0dddef4f5c46371e7eb6077effe2cd06853a3a0fa470db4f1fa5c723e461
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