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:
- 641cf230f644fb4bcd69d856bc5697cdb415c4b21a4cf7d703ce5c8c370326c6
- Size of remote file:
- 3.06 GB
- SHA256:
- 269148afd23d4b8207f20ba43a70d708bfb674e0b7deb3f4bc2c131c324629dc
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