Instructions to use MaryWambo/whisper-base-kikuyu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MaryWambo/whisper-base-kikuyu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MaryWambo/whisper-base-kikuyu")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MaryWambo/whisper-base-kikuyu") model = AutoModelForSpeechSeq2Seq.from_pretrained("MaryWambo/whisper-base-kikuyu") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0df1dcad434c4a9b670bab158b14cbe9180438b9f9b2c29af8f518e9d1819726
- Size of remote file:
- 5.5 kB
- SHA256:
- 54c463e9d5f770ff73e26c7c28738a47c031c1a0a3911202df3ec33a793c0562
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