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 /1670433716.9914668 /events.out.tfevents.1670433716.129-154-231-61.410942.1
- Xet hash:
- aa3e6626dfa8133c48a7b63f0c887799fb26572c50cc8133b3f0cbfa3b18731f
- Size of remote file:
- 5.71 kB
- SHA256:
- c2c1fa7dfa834b173129b6f0ab2c6c64051938b49e49eb260f389edbfa22dc5a
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