Instructions to use MariaK/whisper-tiny-minds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MariaK/whisper-tiny-minds with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MariaK/whisper-tiny-minds")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MariaK/whisper-tiny-minds") model = AutoModelForSpeechSeq2Seq.from_pretrained("MariaK/whisper-tiny-minds") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0493700a7d8db66fa6f5db612a94ce086855585a92006b79884c3f792585eb32
- Size of remote file:
- 4.09 kB
- SHA256:
- f9a8a37e410d5f5c2f0711616953e953bbd74202bd638936a419ec1f10480ba9
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