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
Training in progress, epoch 5
Browse files
runs/May01_23-11-15_ip-10-0-2-237/events.out.tfevents.1714605076.ip-10-0-2-237.9440.0
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