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:
- 05073276f8f828f23ef586adecc51dfb1b8733626227f038357cb7fa85006eb6
- Size of remote file:
- 151 MB
- SHA256:
- d2ff960bc4c278e8e928cb0dac0101079dfe47b7d29771bda299a3ed03295406
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