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:
- d7de96150825db946235fec4311755e863d68564cedfceba67e3a9f7b527a9a2
- Size of remote file:
- 2.8 kB
- SHA256:
- 4f2e6088a4e82a1acd18b41923471e0274d0160956026daf9dccec5e88b11287
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