Automatic Speech Recognition
Transformers
PyTorch
Basque
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use enterprise-explorers/wav2vec2-large-xlsr-53-eu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enterprise-explorers/wav2vec2-large-xlsr-53-eu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="enterprise-explorers/wav2vec2-large-xlsr-53-eu")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("enterprise-explorers/wav2vec2-large-xlsr-53-eu") model = AutoModelForCTC.from_pretrained("enterprise-explorers/wav2vec2-large-xlsr-53-eu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K