Instructions to use explorall/whisper-small-test-se with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use explorall/whisper-small-test-se with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="explorall/whisper-small-test-se")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("explorall/whisper-small-test-se") model = AutoModelForSpeechSeq2Seq.from_pretrained("explorall/whisper-small-test-se") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2
Browse files
runs/Dec08_18-15-41_a0a1090e10d2/events.out.tfevents.1702059388.a0a1090e10d2.7627.0
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