Instructions to use MariaK/whisper-tiny-minds-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MariaK/whisper-tiny-minds-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MariaK/whisper-tiny-minds-v3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MariaK/whisper-tiny-minds-v3") model = AutoModelForSpeechSeq2Seq.from_pretrained("MariaK/whisper-tiny-minds-v3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04d96d8aac75a27a03e084d543ddc4033dfc815e0202bfa17df6dcce465146ad
- Size of remote file:
- 4.09 kB
- SHA256:
- 247f9fb6736b7dce5eede3e0ac64ed316851fbbbb068131b0e26ce707c41f9c2
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