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")# pip install -U transformers accelerate # 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
4000/5000 with both dropout values at 0.05
Browse files- runs/Dec13_14-53-46_129-146-102-49/events.out.tfevents.1670943242.129-146-102-49.632089.0 +2 -2
- runs/Dec13_19-33-07_129-146-102-49/1670959999.8858695/events.out.tfevents.1670959999.129-146-102-49.783430.1 +3 -0
- runs/Dec13_19-33-07_129-146-102-49/events.out.tfevents.1670959999.129-146-102-49.783430.0 +3 -0
runs/Dec13_14-53-46_129-146-102-49/events.out.tfevents.1670943242.129-146-102-49.632089.0
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