Instructions to use Yulle/WhisperCheckpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yulle/WhisperCheckpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Yulle/WhisperCheckpoints")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Yulle/WhisperCheckpoints") model = AutoModelForSpeechSeq2Seq.from_pretrained("Yulle/WhisperCheckpoints") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3000
Browse files
model.safetensors
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runs/Nov30_20-57-21_71766f8227ec/events.out.tfevents.1701377932.71766f8227ec.4729.0
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training_args.bin
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