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_17-25-52_129-154-231-61 /1670433999.2702768 /events.out.tfevents.1670433999.129-154-231-61.428224.1
- Xet hash:
- 7583e148e5a5ecd18130d415a122470e33f79735004cfe880bd72fe4aea63f47
- Size of remote file:
- 5.71 kB
- SHA256:
- c2e97b1ff160fbc872552900ce75856636143b7c0c003413af5ea9b8b3f12ce7
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