Instructions to use salixc/dielect_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use salixc/dielect_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="salixc/dielect_classification_model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("salixc/dielect_classification_model") model = AutoModelForAudioClassification.from_pretrained("salixc/dielect_classification_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
model.safetensors
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runs/Jul26_02-19-05_c143efb7e118/events.out.tfevents.1721960347.c143efb7e118.7405.0
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