Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
English
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use NemesisAlm/whisper-tiny-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NemesisAlm/whisper-tiny-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NemesisAlm/whisper-tiny-en")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NemesisAlm/whisper-tiny-en") model = AutoModelForSpeechSeq2Seq.from_pretrained("NemesisAlm/whisper-tiny-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af2ddafc5ef6075dfbff33917e79e8b86a66d5f26838033fe8ad1bdc770f6b87
- Size of remote file:
- 4.09 kB
- SHA256:
- 07241244e6d78ce455c7db892b90d6b75e388b5da81967bbe4d338a306ffc612
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