Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Greek
whisper
hf-asr-leaderboard
whisper-medium
mozilla-foundation/common_voice_11_0
greek
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use emilios/whisper-medium-el with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emilios/whisper-medium-el with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="emilios/whisper-medium-el")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("emilios/whisper-medium-el") model = AutoModelForSpeechSeq2Seq.from_pretrained("emilios/whisper-medium-el", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 12.44, | |
| "eval_loss": 0.38012266159057617, | |
| "eval_runtime": 1110.8612, | |
| "eval_samples_per_second": 1.527, | |
| "eval_steps_per_second": 0.095, | |
| "eval_wer": 11.199851411589897, | |
| "train_loss": 0.020854657278954983, | |
| "train_runtime": 27142.1177, | |
| "train_samples_per_second": 5.895, | |
| "train_steps_per_second": 0.184 | |
| } |