Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use gscheff/my_awesome_mind_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gscheff/my_awesome_mind_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="gscheff/my_awesome_mind_model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("gscheff/my_awesome_mind_model") model = AutoModelForAudioClassification.from_pretrained("gscheff/my_awesome_mind_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 944494ad0b26173c2a9bd704e91480d0df3e04bd49b1f28d886e336573d14653
- Size of remote file:
- 378 MB
- SHA256:
- 7164c8ccde7d8376c3f90baf0a634804f9827ce6f347200a0150b99f18b13f3a
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