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 training_args.bin from SonHyeontae/cppe-5_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/SonHyeontae/cppe-5_finetuning/resolve/main/training_args.bin
- Command line
-
hf download hf://SonHyeontae/cppe-5_finetuning/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SonHyeontae/cppe-5_finetuning/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- ed81b3414534619d339baee9f92236678fe9ea9d59f8d5326a99971656b88a2d
- Size of remote file:
- 4.54 kB
- SHA256:
- e9518ca6bad6edb7c6bbbac1d0446ed143b52ff9d7268e8306cec447b7fe2f1c
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