Automatic Speech Recognition
Transformers
PyTorch
Swahili
whisper
Generated from Trainer
asr
sst
swahili
Instructions to use Skier8402/whisper-small-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Skier8402/whisper-small-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Skier8402/whisper-small-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Skier8402/whisper-small-tiny") model = AutoModelForMultimodalLM.from_pretrained("Skier8402/whisper-small-tiny") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:01276db606ed863625e16871692b2296c2e177d27f972e9f441a0ca9fc1174fe
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size 151061728
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