Audio Classification
Transformers
TensorBoard
Safetensors
data2vec-audio
Generated from Trainer
Eval Results (legacy)
Instructions to use Masataro/Testing_for_EEG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Masataro/Testing_for_EEG with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Masataro/Testing_for_EEG")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForAudioClassification tokenizer = AutoTokenizer.from_pretrained("Masataro/Testing_for_EEG") model = AutoModelForAudioClassification.from_pretrained("Masataro/Testing_for_EEG", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
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