Instructions to use Kuray107/RATS_clean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kuray107/RATS_clean with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Kuray107/RATS_clean")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Kuray107/RATS_clean") model = AutoModelForCTC.from_pretrained("Kuray107/RATS_clean", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 14000
Browse files
pytorch_model.bin
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runs/Apr19_21-13-23_shannon/events.out.tfevents.1713562051.shannon.4081268.0
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