Instructions to use mageec/wav2vec2-attempt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mageec/wav2vec2-attempt2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="mageec/wav2vec2-attempt2")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("mageec/wav2vec2-attempt2") model = AutoModelForAudioClassification.from_pretrained("mageec/wav2vec2-attempt2") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Apr30_02-41-40_ip-10-0-2-211
- Apr30_02-45-32_ip-10-0-2-211
- Apr30_02-48-56_ip-10-0-2-211
- Apr30_02-57-55_ip-10-0-2-211
- Apr30_03-01-39_ip-10-0-2-211
- Apr30_03-05-25_ip-10-0-2-211
- Apr30_03-09-22_ip-10-0-2-211
- Apr30_03-12-49_ip-10-0-2-211
- Apr30_03-18-04_ip-10-0-2-211
- Apr30_03-18-39_ip-10-0-2-211
- May01_22-10-00_ip-10-0-2-237
- May01_22-25-10_ip-10-0-2-237
- May01_22-30-35_ip-10-0-2-237
- May01_22-38-39_ip-10-0-2-237
- May01_22-48-02_ip-10-0-2-237
- May01_22-49-59_ip-10-0-2-237
- May01_23-11-15_ip-10-0-2-237