Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Turkish
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use beratcmn/whisper-tiny-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beratcmn/whisper-tiny-tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="beratcmn/whisper-tiny-tr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("beratcmn/whisper-tiny-tr") model = AutoModelForSpeechSeq2Seq.from_pretrained("beratcmn/whisper-tiny-tr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 950ae95f7a3fb60e9eb63bfe369455662e442e5d019abeea5f9d278d2268a099
- Size of remote file:
- 4.22 kB
- SHA256:
- 3ca87f32034597e0c757fb27a09538cb6f446c6dc6f7ed0f40f72878a3adcb18
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