Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Turkish
whisper
Generated from Trainer
Instructions to use ysdede/whisper-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ysdede/whisper-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ysdede/whisper-base")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ysdede/whisper-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("ysdede/whisper-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbb3c738d33e1cdf6f001afcde2c1c33ddc024dc0af05a564b1cf8abfcb42687
- Size of remote file:
- 5.43 kB
- SHA256:
- 57c6b52491f1a740c48765877f1102e10f9cd3b7bd90bddf404f5029ce968457
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