Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Greek
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use ALM/whisper-el-medium-augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ALM/whisper-el-medium-augmented with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ALM/whisper-el-medium-augmented")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ALM/whisper-el-medium-augmented") model = AutoModelForSpeechSeq2Seq.from_pretrained("ALM/whisper-el-medium-augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
56b341f
1
Parent(s): 54b42b7
Training in progress, step 18000
Browse files
pytorch_model.bin
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runs/Dec19_08-40-22_heron/events.out.tfevents.1671439262.heron.2099547.0
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