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:
- 52782a4f5a28c440bf825bcefdc9245c8661c32ea19b8e8852e4ac558a9e7368
- Size of remote file:
- 1.27 GB
- SHA256:
- f4929ec83f617a359b3ca2bce8f9a064e432f7d18df016a650bc9fb7db95ea71
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