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 training_args.bin from bayesianist/my_awesome_mind_model: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/bayesianist/my_awesome_mind_model/resolve/main/training_args.bin
- Command line
-
hf download hf://bayesianist/my_awesome_mind_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bayesianist/my_awesome_mind_model/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- e8f1ac96c4b25c592610dc7e9996c449883835a0051dea608f0609a48c2d4e1e
- Size of remote file:
- 3.58 kB
- SHA256:
- d4a04532c5d51efc781a0e474724949625e4fc8a480f0e2e0b399c4f15d07d2a
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