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:
- f3186cb4c071a832234137209e6e7ea5e34c4c10bd7f8efe2a3180277e68d614
- Size of remote file:
- 1.28 GB
- SHA256:
- 09ea2469ee2e5fcb56b860c8209240cafd3c1514f181cb61efb67b7ea8498a4f
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