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/cbefed710874839887c00503e9e7d5b744ba892d/pytorch_model.bin
- Command line
-
hf download hf://zerojun/cppe5_use_data_finetuning@cbefed710874839887c00503e9e7d5b744ba892d/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/zerojun/cppe5_use_data_finetuning/resolve/cbefed710874839887c00503e9e7d5b744ba892d/pytorch_model.bin
167 MB
- Xet hash:
- 0d7b76ee83054f3eaa4b28a7f023aff21278bd24540cdab508bb0824d7701d91
- Size of remote file:
- 167 MB
- SHA256:
- 9c0d7be1385daf3bbaa9e1501a6e3bcf1846ff1d3769cff325a339ae9573618e
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