Instructions to use parkchihoon/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use parkchihoon/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="parkchihoon/cppe5_use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("parkchihoon/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("parkchihoon/cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from parkchihoon/cppe5_use_data_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/parkchihoon/cppe5_use_data_finetuning/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://parkchihoon/cppe5_use_data_finetuning@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/parkchihoon/cppe5_use_data_finetuning/resolve/refs%2Fpr%2F1/pytorch_model.bin
167 MB
- Xet hash:
- 8c4c120263bee1e7109324d371f987ba31b07ed680e8f6b0cc96d989b618fe5a
- Size of remote file:
- 167 MB
- SHA256:
- 30f83d25c2c5fc0d04f2f7133561bdf6c695f3b27897f50f9b10edc31b58c5d9
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