Instructions to use Homoro/my_awesome_mind_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Homoro/my_awesome_mind_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Homoro/my_awesome_mind_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Homoro/my_awesome_mind_model") model = AutoModelForAudioClassification.from_pretrained("Homoro/my_awesome_mind_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Homoro/my_awesome_mind_model: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/Homoro/my_awesome_mind_model/resolve/main/training_args.bin
- Command line
-
hf download hf://Homoro/my_awesome_mind_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Homoro/my_awesome_mind_model/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- 050d124a73e3f5fb054d8bc82fba06cfc69326828ec117e78eea4006e7e1ca25
- Size of remote file:
- 3.96 kB
- SHA256:
- 466f01324b542ff01ad89720013c48bf775a4a18745f5aa53910c40be561e23f
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