Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Phone Recognition
International Phonetic Alphabet
CTC
multilingual
Instructions to use pklumpp/Wav2Vec2_CommonPhone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pklumpp/Wav2Vec2_CommonPhone with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pklumpp/Wav2Vec2_CommonPhone")# Load model directly from transformers import Wav2Vec2 model = Wav2Vec2.from_pretrained("pklumpp/Wav2Vec2_CommonPhone", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fdf8841249519693748bc93b1ae741981b602123a5b8967b972812241e17326
- Size of remote file:
- 1.26 GB
- SHA256:
- 2e319a3e1b69f297d333adee96e441bbed666a0e5e7d3339dc64bf8a0b6cd9ad
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