Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use vadhri/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vadhri/whisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="vadhri/whisper-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("vadhri/whisper-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("vadhri/whisper-tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ea0f4a4fabc062f90aa6031dc831c568dbd9802e0b026b6cd01dfcb7ae53556
- Size of remote file:
- 5.05 kB
- SHA256:
- 84de0b6ac61197bf63e8005641835782b5954adeeed86998966d0b1b29b7ed5b
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