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
- Xet hash:
- fff3bf395969605f111140f01aac920a4a9f422e6f6a140c13ec8c288751973a
- Size of remote file:
- 3.06 GB
- SHA256:
- f9120ff9d431ae74326b5fe5c036fed1fc8782403676fd4a8098e5d6dfd3312b
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