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 pytorch_model.bin from zerojun/cppe5_use_data_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/zerojun/cppe5_use_data_finetuning/resolve/49ed40e4c1172e61bc4f53ae66cefa3077e27ef3/pytorch_model.bin
- Command line
-
hf download hf://zerojun/cppe5_use_data_finetuning@49ed40e4c1172e61bc4f53ae66cefa3077e27ef3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/zerojun/cppe5_use_data_finetuning/resolve/49ed40e4c1172e61bc4f53ae66cefa3077e27ef3/pytorch_model.bin
167 MB
- Xet hash:
- e43b4bbf9b4e4fb1fa9b616b12888b5a37c852d1acbeee769d8dafd4324d7352
- Size of remote file:
- 167 MB
- SHA256:
- b6003f91eda8de17306814c1844fb6676922877b702b30b9ed609880457998ca
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