Instructions to use optimum/whisper-tiny.en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use optimum/whisper-tiny.en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="optimum/whisper-tiny.en")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("optimum/whisper-tiny.en") model = AutoModelForSpeechSeq2Seq.from_pretrained("optimum/whisper-tiny.en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
A fork of https://huggingface.co/openai/whisper-tiny.en exported to ONNX using Optimum ONNX export 🤗
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