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:
- 53e4813e37bd4eed1703ecfa225f67be553455d6732c8538567c4cee5085eb89
- Size of remote file:
- 2.8 kB
- SHA256:
- 6e2069855c4d249e46bf63972a1b693bb9305c2154f88e26fd66e9ddbe3bc6e8
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