Instructions to use ashwin123/whisper-tiny-ml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashwin123/whisper-tiny-ml with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ashwin123/whisper-tiny-ml")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ashwin123/whisper-tiny-ml") model = AutoModelForSpeechSeq2Seq.from_pretrained("ashwin123/whisper-tiny-ml") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2f0e37c07fb74711e6739c98ccd600ac05676d4a815f0cac033c45f72c7301f0
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size 151061728
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