Instructions to use slplab/whisper-base-asd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slplab/whisper-base-asd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="slplab/whisper-base-asd")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("slplab/whisper-base-asd") model = AutoModelForSpeechSeq2Seq.from_pretrained("slplab/whisper-base-asd") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1000
Browse files
pytorch_model.bin
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runs/Jun30_08-58-21_oem-WS-C621E-SAGE-Series/events.out.tfevents.1688083147.oem-WS-C621E-SAGE-Series.3941228.0
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