Instructions to use YurT17/my_awesome_mind_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YurT17/my_awesome_mind_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="YurT17/my_awesome_mind_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("YurT17/my_awesome_mind_model") model = AutoModelForAudioClassification.from_pretrained("YurT17/my_awesome_mind_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from YurT17/my_awesome_mind_model: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/YurT17/my_awesome_mind_model/resolve/main/training_args.bin
- Command line
-
hf download hf://YurT17/my_awesome_mind_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/YurT17/my_awesome_mind_model/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 49b3e7c25bd95f8b5aad636dc7f165a7cf01ab8dcd6e1f7aaceaf2156de2e52b
- Size of remote file:
- 5.11 kB
- SHA256:
- dbe3a52fd606c16be66868447f115760b5cfaf3ba7c4b6f82983d9c986be828d
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