Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use DanielDBGC/my_awesome_lang_class_mind_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DanielDBGC/my_awesome_lang_class_mind_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="DanielDBGC/my_awesome_lang_class_mind_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("DanielDBGC/my_awesome_lang_class_mind_model") model = AutoModelForAudioClassification.from_pretrained("DanielDBGC/my_awesome_lang_class_mind_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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