Audio Classification
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use junkmind/my_awesome_mind with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junkmind/my_awesome_mind with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="junkmind/my_awesome_mind")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("junkmind/my_awesome_mind") model = AutoModelForAudioClassification.from_pretrained("junkmind/my_awesome_mind", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a7b5886f7ee0c64752693656b3263c3c665cc2efd007376c44bccfc30e39e1c5
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size 378314656
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