Instructions to use yyooggaa/whisper-tiny-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yyooggaa/whisper-tiny-id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="yyooggaa/whisper-tiny-id")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("yyooggaa/whisper-tiny-id") model = AutoModelForSpeechSeq2Seq.from_pretrained("yyooggaa/whisper-tiny-id", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3000
Browse files
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