Instructions to use Tobius/Luganda_Whisper_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tobius/Luganda_Whisper_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Tobius/Luganda_Whisper_small")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Tobius/Luganda_Whisper_small") model = AutoModelForSpeechSeq2Seq.from_pretrained("Tobius/Luganda_Whisper_small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 2200
Verified signature23fbef0 -
Training in progress, step 2000
Verified signatureb17b41d -
Training in progress, step 1800
Verified signature7410ee4 -
Training in progress, step 1600
Verified signature1cd13a3 -
Training in progress, step 1400
Verified signaturecc90a21 -
Training in progress, step 1200
Verified signature11cb8b5 -
Training in progress, step 1000
Verified signature552b5c7 -
Training in progress, step 800
Verified signature65eb76d -
Training in progress, step 600
Verified signature80cd514 -
Training in progress, step 400
Verified signature12066fe -
Training in progress, step 200
Verified signaturea4ef290 -
Training in progress, step 200
Verified signature20ad522 -
initial commit
Verified signature37e2361