Automatic Speech Recognition
Transformers
Safetensors
English
speech
audio
transformers- peft
lora
adapter
Instructions to use Bruno7/ksa-whisper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bruno7/ksa-whisper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Bruno7/ksa-whisper")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Bruno7/ksa-whisper", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6634779b38bd9361ab143625bab4cf679189c1459389a5e9935364bef0dce2e5
- Size of remote file:
- 5.97 kB
- SHA256:
- e743f1b3defa07f7007d0b0a14d59b6f60be52faf9191f4f7177ce87a1edcd34
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