Automatic Speech Recognition
Transformers
PyTorch
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use ditwoo/whisper-tiny-PolyAI-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ditwoo/whisper-tiny-PolyAI-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ditwoo/whisper-tiny-PolyAI-minds14")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ditwoo/whisper-tiny-PolyAI-minds14") model = AutoModelForSpeechSeq2Seq.from_pretrained("ditwoo/whisper-tiny-PolyAI-minds14") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f512cdd3537e3d3a47fbba19c8526e2b72226d5023813b87fcfe614e455576f0
- Size of remote file:
- 4.09 kB
- SHA256:
- ba2ea4e928d62719d89d027d565408ab7ba8253d1c908722919f3d74138fdda2
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