Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Ussen/whisper-tiny-swc-drc-kat-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ussen/whisper-tiny-swc-drc-kat-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Ussen/whisper-tiny-swc-drc-kat-2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Ussen/whisper-tiny-swc-drc-kat-2") model = AutoModelForSpeechSeq2Seq.from_pretrained("Ussen/whisper-tiny-swc-drc-kat-2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened 12 months ago
by
SFconvertbot