Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use MariaK/whisper-tiny-minds-v5-numproc1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MariaK/whisper-tiny-minds-v5-numproc1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MariaK/whisper-tiny-minds-v5-numproc1")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MariaK/whisper-tiny-minds-v5-numproc1") model = AutoModelForSpeechSeq2Seq.from_pretrained("MariaK/whisper-tiny-minds-v5-numproc1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69a3591fdd094d81b1f142687744e1bb8faa3c7269e30155d623b897f494e0ac
- Size of remote file:
- 4.09 kB
- SHA256:
- 29efce047a2c627e85301bc64968b7d0eec6089d995a729cca7912c10f73df2e
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