Instructions to use Samy09/test_sd2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Samy09/test_sd2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Samy09/test_sd2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Samy09/test_sd2") model = AutoModelForCTC.from_pretrained("Samy09/test_sd2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3000
Browse files
pytorch_model.bin
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runs/Oct03_23-18-49_a75ed5a172a3/events.out.tfevents.1696375242.a75ed5a172a3.1586.0
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