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
File size: 198 Bytes
d5f3c40 | 1 2 3 4 5 6 7 8 | {
"epoch": 9.05,
"eval_loss": 0.361074298620224,
"eval_runtime": 6641.8129,
"eval_samples_per_second": 1.527,
"eval_steps_per_second": 0.048,
"eval_wer": 15.901153962951717
} |