Automatic Speech Recognition
Transformers
PyTorch
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use nomad-ai/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nomad-ai/whisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nomad-ai/whisper-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nomad-ai/whisper-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("nomad-ai/whisper-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00dad8cc7d2950abd142c036eced54999bfadfb0473c6d3bcd5ba48fbad85607
- Size of remote file:
- 151 MB
- SHA256:
- 72eea8e2acdf3e80a65b9d72f9d359b85530d60df0e4a4931d76d17915c098e5
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