Instructions to use ROGRANMAR/PRUEBA5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ROGRANMAR/PRUEBA5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ROGRANMAR/PRUEBA5")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ROGRANMAR/PRUEBA5") model = AutoModelForCTC.from_pretrained("ROGRANMAR/PRUEBA5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100
Browse files
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runs/Apr18_11-59-47_6401489f8fb1/events.out.tfevents.1681819206.6401489f8fb1.154.2
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