Instructions to use goea/whisper-small-sagemaker-test.en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use goea/whisper-small-sagemaker-test.en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="goea/whisper-small-sagemaker-test.en")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("goea/whisper-small-sagemaker-test.en") model = AutoModelForSpeechSeq2Seq.from_pretrained("goea/whisper-small-sagemaker-test.en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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s3://sagemaker-whisper-testing/output/small/en/sagemaker-whispertrainer-test-2025-07-11-04-45-08-839/output/model.tar.gz
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