Automatic Speech Recognition
Transformers
TensorBoard
wav2vec2
edinburghcstr/ami
Generated from Trainer
Eval Results (legacy)
Instructions to use tz579/example_asr_wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tz579/example_asr_wav2vec2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tz579/example_asr_wav2vec2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("tz579/example_asr_wav2vec2") model = AutoModelForCTC.from_pretrained("tz579/example_asr_wav2vec2") - Notebooks
- Google Colab
- Kaggle