Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Turkish
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use sgangireddy/whisper-medium-highLR-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgangireddy/whisper-medium-highLR-tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sgangireddy/whisper-medium-highLR-tr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sgangireddy/whisper-medium-highLR-tr") model = AutoModelForSpeechSeq2Seq.from_pretrained("sgangireddy/whisper-medium-highLR-tr") - Notebooks
- Google Colab
- Kaggle
whisper-medium-highLR-tr / runs /Dec21_08-14-10_las2-mlgpu40 /events.out.tfevents.1671639276.las2-mlgpu40.1654903.0
- Xet hash:
- 02d7f61df3c3c8442a0ddd9b54ae9a4a9926e94a9fb567849a26990d2bf60b17
- Size of remote file:
- 10.9 kB
- SHA256:
- 7cbe5380e948e5456453ca5725f052ea32dc2f4e8afb0e26098d571954f4ab45
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