Instructions to use GleamEyeBeast/Mandarin_char with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GleamEyeBeast/Mandarin_char with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GleamEyeBeast/Mandarin_char")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("GleamEyeBeast/Mandarin_char") model = AutoModelForCTC.from_pretrained("GleamEyeBeast/Mandarin_char") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cb1aecc03836768097e599caa95e991dc441aff7656cb74a522008bacf308fc
- Size of remote file:
- 2.99 kB
- SHA256:
- 255bd5828f67288029931fead34d6e69cc34d2238d57a75e19a51ff1b9f0c017
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