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/55a6eb5b16380caafaf96a1c17ec30f406593721/pytorch_model.bin
- Command line
-
hf download hf://zerojun/cppe5_use_data_finetuning@55a6eb5b16380caafaf96a1c17ec30f406593721/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/zerojun/cppe5_use_data_finetuning/resolve/55a6eb5b16380caafaf96a1c17ec30f406593721/pytorch_model.bin
167 MB
- Xet hash:
- 9337b9af13d6ddf1f88ec25b1907c05af037be7cb47988de18321718da1415b0
- Size of remote file:
- 167 MB
- SHA256:
- c0528d01bfd409a9c860d09084f7dfc10b9beace2aa7b1ca09e9d903628cdcf7
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