Instructions to use KieuTruongz/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KieuTruongz/test-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="KieuTruongz/test-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("KieuTruongz/test-model") model = AutoModelForAudioClassification.from_pretrained("KieuTruongz/test-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from KieuTruongz/test-model: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/KieuTruongz/test-model/resolve/main/training_args.bin
- Command line
-
hf download hf://KieuTruongz/test-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/KieuTruongz/test-model/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 502e94483234d9c531c5eb1c8d03543f56a347c0a9c1e9ce08f4073f3a956fa9
- Size of remote file:
- 5.11 kB
- SHA256:
- 11437fb5400eeb0c0a2a4b4751b68acfc0e1db98e6f0acbccff728d4b6a27db2
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