Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use ruisp/whisper-tiny-ft-polyai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruisp/whisper-tiny-ft-polyai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ruisp/whisper-tiny-ft-polyai")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ruisp/whisper-tiny-ft-polyai") model = AutoModelForSpeechSeq2Seq.from_pretrained("ruisp/whisper-tiny-ft-polyai") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:d67bf5b2c257f6ab5157078f55b9961b305858e58e7aca4daaa995456eec5617
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size 151061728
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