Instructions to use LeeRuben/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LeeRuben/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="LeeRuben/cppe5_use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("LeeRuben/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("LeeRuben/cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from LeeRuben/cppe5_use_data_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/LeeRuben/cppe5_use_data_finetuning/resolve/main/training_args.bin
- Command line
-
hf download hf://LeeRuben/cppe5_use_data_finetuning/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/LeeRuben/cppe5_use_data_finetuning/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- d8eda44fa2059fd3ec1fd7a2c9ad5c45d3f9192c60f5e053a70bd12004b70b83
- Size of remote file:
- 4.09 kB
- SHA256:
- cb13915daf1e87d1fb94ac2dddfa8876352b074cd8fc08e922e86156d42931c4
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