Instructions to use Amik-ML/model_name with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amik-ML/model_name with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Amik-ML/model_name")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Amik-ML/model_name") model = AutoModelForAudioClassification.from_pretrained("Amik-ML/model_name", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 0
Browse files
model.safetensors
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runs/Dec21_06-46-24_7108d14f67ac/events.out.tfevents.1703141185.7108d14f67ac.163.3
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training_args.bin
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