Instructions to use GleamEyeBeast/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GleamEyeBeast/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GleamEyeBeast/test")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("GleamEyeBeast/test") model = AutoModelForCTC.from_pretrained("GleamEyeBeast/test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4fa59192207e0e779cf94113837f3dca4a5d729a8effb1c278e25303bc4ceb2a
- Size of remote file:
- 378 MB
- SHA256:
- 2aa0f54861a2e3c2af085ce03e2cde416f6134a0d2f6bad20ee8eacb69ca10e5
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