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
Ctrl+K
- May24_15-21-50_tz579-raptorlake
- May24_15-39-25_tz579-raptorlake
- May24_16-00-52_tz579-raptorlake
- May24_16-12-34_tz579-raptorlake
- May24_16-38-27_tz579-raptorlake
- May24_16-51-07_tz579-raptorlake
- May24_17-08-47_tz579-raptorlake
- May24_17-20-23_tz579-raptorlake
- May24_17-36-29_tz579-raptorlake
- May25_17-16-21_tz579-raptorlake
- May25_17-29-56_tz579-raptorlake
- May25_17-45-58_tz579-raptorlake
- May25_17-57-49_tz579-raptorlake