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
whisper-medium-tr / runs /Dec07_17-20-15_129-154-231-61 /events.out.tfevents.1670433716.129-154-231-61.410942.0
- Xet hash:
- 76b3c3cc56a9eb7d5739c72b7d2323dedce0a712338738e321d5f967c3910828
- Size of remote file:
- 4.18 kB
- SHA256:
- 8d9fc3bda517b94d6d64d503a18e4279bc4009bbef98a4db982f853f642c4ac9
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