Automatic Speech Recognition
Transformers
PyTorch
Safetensors
English
wav2vec2
audio
en-atc
Generated from Trainer
Eval Results (legacy)
Instructions to use Jzuluaga/wav2vec2-xls-r-300m-en-atc-uwb-atcc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jzuluaga/wav2vec2-xls-r-300m-en-atc-uwb-atcc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Jzuluaga/wav2vec2-xls-r-300m-en-atc-uwb-atcc")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Jzuluaga/wav2vec2-xls-r-300m-en-atc-uwb-atcc") model = AutoModelForCTC.from_pretrained("Jzuluaga/wav2vec2-xls-r-300m-en-atc-uwb-atcc") - Notebooks
- Google Colab
- Kaggle
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| "y": 25, | |
| "z": 26, | |
| "|": 0 | |
| } | |