Instructions to use kenky/whisper-small-tiny-mec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kenky/whisper-small-tiny-mec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kenky/whisper-small-tiny-mec")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kenky/whisper-small-tiny-mec") model = AutoModelForSpeechSeq2Seq.from_pretrained("kenky/whisper-small-tiny-mec") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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:afe49b5b1759b6e5edabd51fb51ed965252056d5d607ec6aabc5920c20e2ca79
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size 151061672
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