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:
- 125f747b4e33051727a9bc983828d89605aa7ffad05d0efdad2e5d4a5f80e489
- Size of remote file:
- 3.58 kB
- SHA256:
- b8ff46e6a7a2b008ba9573d09b87850f90f6bc8b317aa246939a42ae6a006a06
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