Instructions to use SonHyeontae/cppe-5_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SonHyeontae/cppe-5_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="SonHyeontae/cppe-5_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("SonHyeontae/cppe-5_finetuning") model = AutoModelForObjectDetection.from_pretrained("SonHyeontae/cppe-5_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SonHyeontae/cppe-5_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/SonHyeontae/cppe-5_finetuning/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SonHyeontae/cppe-5_finetuning/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SonHyeontae/cppe-5_finetuning/resolve/main/pytorch_model.bin
167 MB
- Xet hash:
- df6a9a337833dea940963af0c329b2fd1797e955f24b4dee9979ac3f3c16056e
- Size of remote file:
- 167 MB
- SHA256:
- c439f959b06d0e87d412252648d1d981cb54bbd56a55fea88c777baf7da92a8e
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