Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Turkish
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use sgangireddy/whisper-medium-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgangireddy/whisper-medium-tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sgangireddy/whisper-medium-tr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sgangireddy/whisper-medium-tr") model = AutoModelForSpeechSeq2Seq.from_pretrained("sgangireddy/whisper-medium-tr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db9fae8a8009572ab16303fe5892d2eaf0ae61c61d4f86066aec3750eb99c19c
- Size of remote file:
- 3.52 kB
- SHA256:
- 4a3aeb7ffd13ab8ee0a10ba6601d1cdbae2f9aa1f35c957246bbdd3206ec8853
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