Instructions to use feabries/my_awesome_mind_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use feabries/my_awesome_mind_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="feabries/my_awesome_mind_model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("feabries/my_awesome_mind_model") model = AutoModelForAudioClassification.from_pretrained("feabries/my_awesome_mind_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f04d56d7a82ab583fc641e9610aa5c7106d2e2a0cf782997ce1ff2cfd5b98173
- Size of remote file:
- 378 MB
- SHA256:
- 4f521903cd4ee447eb8894946270fed970236ddcb113bd635f412694696ffcd1
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