Instructions to use bayesianist/my_awesome_mind_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bayesianist/my_awesome_mind_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="bayesianist/my_awesome_mind_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("bayesianist/my_awesome_mind_model") model = AutoModelForAudioClassification.from_pretrained("bayesianist/my_awesome_mind_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from bayesianist/my_awesome_mind_model: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/bayesianist/my_awesome_mind_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://bayesianist/my_awesome_mind_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/bayesianist/my_awesome_mind_model/resolve/main/pytorch_model.bin
378 MB
- Xet hash:
- fb9339001183fdd66c8c94d46111bff9c635fea261c63b86f6e6f3385bda6ff2
- Size of remote file:
- 378 MB
- SHA256:
- 27d1c8652270452dd88ae3de95f7b389930f0bce32c2885fe4830cd645cc6db8
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