Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Basque
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use xezpeleta/whisper-medium-eu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xezpeleta/whisper-medium-eu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="xezpeleta/whisper-medium-eu")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("xezpeleta/whisper-medium-eu") model = AutoModelForSpeechSeq2Seq.from_pretrained("xezpeleta/whisper-medium-eu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Training in progress, step 1000 7e0d8f4 verified
Training in progress, step 1000 9459061 verified
Training in progress, step 500 7417384
Training in progress, step 500 d17eb33
Training in progress, step 500 a373b96
Training in progress, step 500 d52c950
Training in progress, step 1000 5d1981e
Training in progress, step 1000 adf2f23
First trial e94d61e
Xabi Ezpeleta commited on