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:
- f8cef07677c5da177c2ed14ceea6e94dbdbb5b6c231a2ec43a5c954a1254e099
- Size of remote file:
- 378 MB
- SHA256:
- f3facc8ec796eaec0c18abbffca26bee451612fe50477803903bb5a9756497a1
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