Instructions to use jungwoo3490/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jungwoo3490/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="jungwoo3490/cppe5_use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("jungwoo3490/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("jungwoo3490/cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jungwoo3490/cppe5_use_data_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/jungwoo3490/cppe5_use_data_finetuning/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jungwoo3490/cppe5_use_data_finetuning/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jungwoo3490/cppe5_use_data_finetuning/resolve/main/pytorch_model.bin
167 MB
- Xet hash:
- bff5f2e81367647614defb151b2fac1e638b4db37599636310c03ef5ef3490d6
- Size of remote file:
- 167 MB
- SHA256:
- 1bf4a230434fb8e8b893126a891ad3ed85bcdf8306b8655e0fa5e4fcb82e6a0a
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