Instructions to use SeoJunn/hyuningface with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SeoJunn/hyuningface with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="SeoJunn/hyuningface")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("SeoJunn/hyuningface") model = AutoModelForObjectDetection.from_pretrained("SeoJunn/hyuningface", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SeoJunn/hyuningface: direct link, hf CLI and curl.
- Browser
- Download file 4.47 kB
-
https://huggingface.co/SeoJunn/hyuningface/resolve/main/training_args.bin
- Command line
-
hf download hf://SeoJunn/hyuningface/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SeoJunn/hyuningface/resolve/main/training_args.bin
4.47 kB
- Xet hash:
- 50844b03b3b74499897ea7ddf3f2c3a77543c64dce7663eef4d695bbe5e61ca8
- Size of remote file:
- 4.47 kB
- SHA256:
- 578630683d11076e49744d41d1956b3e965413b1ad123b09226d392d085896f5
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