Instructions to use Luyen009/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Luyen009/test-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Luyen009/test-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Luyen009/test-model") model = AutoModelForAudioClassification.from_pretrained("Luyen009/test-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Luyen009/test-model: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/Luyen009/test-model/resolve/main/training_args.bin
- Command line
-
hf download hf://Luyen009/test-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Luyen009/test-model/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 39c8ee7ccdbd806c76cc8230412dc25b997ecb5c171fde55c376051d915bb5e8
- Size of remote file:
- 5.18 kB
- SHA256:
- bf13230bd79c1fe47cabd79ee4a445073e3668e30a73d73449abf50ab42c1b77
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