Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Spanish
wav2vec2
audio
speech
phonemize
phoneme
Eval Results (legacy)
Instructions to use Cnam-LMSSC/wav2vec2-spanish-phonemizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cnam-LMSSC/wav2vec2-spanish-phonemizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Cnam-LMSSC/wav2vec2-spanish-phonemizer")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Cnam-LMSSC/wav2vec2-spanish-phonemizer") model = AutoModelForCTC.from_pretrained("Cnam-LMSSC/wav2vec2-spanish-phonemizer") - Notebooks
- Google Colab
- Kaggle
Ctrl+K