Instructions to use GleamEyeBeast/ASCEND_Dataset_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GleamEyeBeast/ASCEND_Dataset_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GleamEyeBeast/ASCEND_Dataset_Model")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("GleamEyeBeast/ASCEND_Dataset_Model") model = AutoModelForCTC.from_pretrained("GleamEyeBeast/ASCEND_Dataset_Model") - Notebooks
- Google Colab
- Kaggle
Commit ·
67674f5
1
Parent(s): e75e77c
End of training
Browse files
pytorch_model.bin
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runs/Mar15_22-34-10_d1f403a2708a/events.out.tfevents.1647383864.d1f403a2708a.96.0
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