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:
- 761bf37cc5ea14814defc4646abeb40155fadf9c893c726af3eda464437eb237
- Size of remote file:
- 151 MB
- SHA256:
- 5acb170c75f0412553eff0af59a61a87a75c6ea53e37de4c199a4ffa072bffb0
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