Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use MarioNapoli/DynamicWav2Vec_TEST_15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MarioNapoli/DynamicWav2Vec_TEST_15 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MarioNapoli/DynamicWav2Vec_TEST_15")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("MarioNapoli/DynamicWav2Vec_TEST_15") model = AutoModelForCTC.from_pretrained("MarioNapoli/DynamicWav2Vec_TEST_15", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 854df544b42d23898fa37a390f21fb0a081bd813c8c8cf8c0f7d8ff070c50c08
- Size of remote file:
- 1.28 GB
- SHA256:
- ddf4e83aab979707c457d247361f661ee178df30a9eb66dadbc97d61e3c40736
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