Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Turkish
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use cvnberk/whisper-tiny-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cvnberk/whisper-tiny-tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cvnberk/whisper-tiny-tr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("cvnberk/whisper-tiny-tr") model = AutoModelForSpeechSeq2Seq.from_pretrained("cvnberk/whisper-tiny-tr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0e83f490eb4d3c628c50c73354d1b9e61f11cd3acae646862a73c50b7bf9fa8
- Size of remote file:
- 5.05 kB
- SHA256:
- c6de5c4affedc86d38eeadbd67be28e79e7da637967ba578a0ceb4c70b07dfd0
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