Instructions to use Selma323/first_dys_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Selma323/first_dys_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Selma323/first_dys_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Selma323/first_dys_model") model = AutoModelForAudioClassification.from_pretrained("Selma323/first_dys_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
config.json
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"hidden_dropout": 0.1,
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"hidden_size": 768,
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"id2label": {
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"1": "
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.0,
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"hidden_dropout": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "Ataxic",
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"1": "Flaccid",
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"2": "Healthy",
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"3": "Hyperkinetic",
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"4": "Hypokinetic",
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"5": "Spastic"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"Ataxic": "0",
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"Flaccid": "1",
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"Healthy": "2",
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"Hyperkinetic": "3",
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"Hypokinetic": "4",
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"Spastic": "5"
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},
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.0,
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model.safetensors
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runs/May07_10-27-08_8aa0392c984d/events.out.tfevents.1715077628.8aa0392c984d.1342.0
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training_args.bin
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size 4984
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