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")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Kuray107/RATS_clean") model = AutoModelForCTC.from_pretrained("Kuray107/RATS_clean") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 24000
Browse files- pytorch_model.bin +1 -1
- runs/Apr19_21-13-23_shannon/events.out.tfevents.1713562051.shannon.4081268.0 +2 -2
- runs/Apr20_13-07-01_shannon/1713619430.11875/events.out.tfevents.1713619430.shannon.326440.1 +3 -0
- runs/Apr20_13-07-01_shannon/events.out.tfevents.1713619430.shannon.326440.0 +3 -0
- training_args.bin +1 -1
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