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 training_args.bin from zerojun/cppe5_use_data_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/zerojun/cppe5_use_data_finetuning/resolve/680ad36be4ed29c2efe035ba88e9d2aad10711bb/training_args.bin
- Command line
-
hf download hf://zerojun/cppe5_use_data_finetuning@680ad36be4ed29c2efe035ba88e9d2aad10711bb/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/zerojun/cppe5_use_data_finetuning/resolve/680ad36be4ed29c2efe035ba88e9d2aad10711bb/training_args.bin
4.54 kB
- Xet hash:
- d4e220a1ffe29333db8949b1b661978b415d3768541686eb9925cba8aa1cf0bb
- Size of remote file:
- 4.54 kB
- SHA256:
- b706ad8b4f8489cc1d5a291c06fe6d7d99f1041f75dec92a059cff77803997bb
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