Instructions to use Milana/check_model_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Milana/check_model_out with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Milana/check_model_out")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Milana/check_model_out") model = AutoModelForAudioClassification.from_pretrained("Milana/check_model_out", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Milana/check_model_out: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/Milana/check_model_out/resolve/main/training_args.bin
- Command line
-
hf download hf://Milana/check_model_out/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Milana/check_model_out/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- d07f6ddab5db60f371180983773b00c3d00a12bfec12ee94695230dccf66e605
- Size of remote file:
- 5.11 kB
- SHA256:
- f8cfd32c5ce5928c9e8d3a5aa4ed1620278201863623c3fa24d04ae362fba76f
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