Instructions to use JM/my_awesome_mind_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JM/my_awesome_mind_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="JM/my_awesome_mind_model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("JM/my_awesome_mind_model") model = AutoModelForAudioClassification.from_pretrained("JM/my_awesome_mind_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e04c5b7577936c04314ea146bf50c5cc3b2d08d251ff369029986a2a6600bc10
- Size of remote file:
- 3.58 kB
- SHA256:
- 7820aec8fc3eea69d347a32ba5c0ed76d49f52141e22be274075ceba6c0bfd45
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