Instructions to use rossevine/Model_G_Wav2Vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rossevine/Model_G_Wav2Vec2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rossevine/Model_G_Wav2Vec2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("rossevine/Model_G_Wav2Vec2") model = AutoModelForCTC.from_pretrained("rossevine/Model_G_Wav2Vec2") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Aug10_22-46-18_hpc-Aquarium2
- Aug10_22-57-52_hpc-Aquarium2
- Aug10_23-03-53_hpc-Aquarium2
- Aug10_23-17-53_hpc-Aquarium2
- Aug10_23-21-11_hpc-Aquarium2
- Aug15_00-49-13_hpc-Aquarium2
- Aug15_09-25-30_hpc-Aquarium2
- Aug15_10-46-35_hpc-Aquarium2
- Aug15_18-55-40_hpc-Aquarium2
- Aug15_19-15-44_hpc-Aquarium2
- Aug15_20-57-13_hpc-Aquarium2