Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Ganda
whisper
Generated from Trainer
Instructions to use allandclive/whisper-tiny-luganda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allandclive/whisper-tiny-luganda with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="allandclive/whisper-tiny-luganda")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("allandclive/whisper-tiny-luganda") model = AutoModelForSpeechSeq2Seq.from_pretrained("allandclive/whisper-tiny-luganda") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c999c66b8b933c1f4f959ff2da3e2284564f869710ffa9a9f9d83518c62b6d7d
- Size of remote file:
- 5.05 kB
- SHA256:
- df09ba2cacfd34a15f8cf826646314caffe6721bf06962574c69a2fb38638520
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