Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use MarioNapoli/DynamicWav2Vec_TEST_10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MarioNapoli/DynamicWav2Vec_TEST_10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MarioNapoli/DynamicWav2Vec_TEST_10")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("MarioNapoli/DynamicWav2Vec_TEST_10") model = AutoModelForCTC.from_pretrained("MarioNapoli/DynamicWav2Vec_TEST_10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 320 Bytes
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