Instructions to use GleamEyeBeast/ascend with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GleamEyeBeast/ascend with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GleamEyeBeast/ascend")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("GleamEyeBeast/ascend") model = AutoModelForCTC.from_pretrained("GleamEyeBeast/ascend", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6577f1555a12c0abd775f4e837b2afdb78bae3b9092f1c7dc335aec0fe52bf1
- Size of remote file:
- 2.99 kB
- SHA256:
- f51fb3944c9593ca8c53802c79a1944e745b166c9648214d1410913553d64fc4
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