Instructions to use marinone94/whisper-tiny-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marinone94/whisper-tiny-sv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="marinone94/whisper-tiny-sv")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("marinone94/whisper-tiny-sv") model = AutoModelForMultimodalLM.from_pretrained("marinone94/whisper-tiny-sv") - Notebooks
- Google Colab
- Kaggle
| torch>=1.7 | |
| torchaudio==0.11.0 | |
| git+https://github.com/huggingface/transformers | |
| git+https://github.com/huggingface/datasets | |
| librosa | |
| jiwer | |
| evaluate>=0.3.0 | |
| more-itertools | |
| tensorboard | |
| wandb |