Instructions to use levicu/whisat-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use levicu/whisat-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="levicu/whisat-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("levicu/whisat-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("levicu/whisat-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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upload yaml used fro training
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updae readme
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base model upload
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update model card
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base model upload - processor only
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base model upload
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initial commit
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