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:
- 85d5a002c4b18ada86355cd9329fbb3ea238c4b3aecc135f4d57ed1081f1582e
- Size of remote file:
- 5.37 kB
- SHA256:
- f139bd8fec4aaac0c439083df12994bc8858277114715a6f67e417bd08de374f
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