Instructions to use FidelOdok/doa_model_TL2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FidelOdok/doa_model_TL2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="FidelOdok/doa_model_TL2")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("FidelOdok/doa_model_TL2") model = AutoModelForAudioClassification.from_pretrained("FidelOdok/doa_model_TL2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 5
52e37af -
Training in progress, epoch 4
34aebc6
-
Training in progress, epoch 3
4ceceba -
Training in progress, epoch 2
e746886 -
Training in progress, epoch 1
c7c2547 -
Training in progress, epoch 2
5a8e8b7 -
Training in progress, epoch 1
0a4ddca -
Training in progress, epoch 1
fbabc98 -
Training in progress, epoch 4
9eb6fc3 -
Training in progress, epoch 3
97b368e -
Training in progress, epoch 2
feb9685
-
Training in progress, epoch 1
f29c3fa -
Training in progress, epoch 1
b7c15e7 -
initial commit
a609087