Instructions to use zerojun/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zerojun/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="zerojun/cppe5_use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("zerojun/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("zerojun/cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from zerojun/cppe5_use_data_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 166 MB
-
https://huggingface.co/zerojun/cppe5_use_data_finetuning/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://zerojun/cppe5_use_data_finetuning@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/zerojun/cppe5_use_data_finetuning/resolve/refs%2Fpr%2F1/model.safetensors
166 MB
- Xet hash:
- 0ffbb11e8c5fa730edc43805b1b55413391c8fc25819f2757b0ba6ea03c7cfac
- Size of remote file:
- 166 MB
- SHA256:
- d04359fbcc706de7bc7653e1762b3584b4a93dbbd91247d2f7bd38d4aab6c09f
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