Instructions to use cdli/whisper-large-v3_finetuned_ugandan_luganda_nonstandard_speech_v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cdli/whisper-large-v3_finetuned_ugandan_luganda_nonstandard_speech_v1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cdli/whisper-large-v3_finetuned_ugandan_luganda_nonstandard_speech_v1.0")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("cdli/whisper-large-v3_finetuned_ugandan_luganda_nonstandard_speech_v1.0") model = AutoModelForSpeechSeq2Seq.from_pretrained("cdli/whisper-large-v3_finetuned_ugandan_luganda_nonstandard_speech_v1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle