How to use Soupis/whisper-smallB with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Soupis/whisper-smallB")
# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Soupis/whisper-smallB") model = AutoModelForSpeechSeq2Seq.from_pretrained("Soupis/whisper-smallB")
Training Results
| Step | Training Loss | Validation Loss | Wer | --- | --- | | 400 | 0.029600 | 0.040408 | 34.661466 | 800 | 0.036400 | 0.033827 | 32.376707 | 1200 | 0.034000 | 0.030750 | 30.704932
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