Instructions to use EUNSEO56/use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EUNSEO56/use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="EUNSEO56/use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("EUNSEO56/use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("EUNSEO56/use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from EUNSEO56/use_data_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/EUNSEO56/use_data_finetuning/resolve/main/training_args.bin
- Command line
-
hf download hf://EUNSEO56/use_data_finetuning/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/EUNSEO56/use_data_finetuning/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- be525c31d0f6b450dbc46358d0aeaabb7ae58ba74b8bdda7dd2dcb19c144ecf4
- Size of remote file:
- 4.09 kB
- SHA256:
- 711753385cde71131bdd8b7fdafd440943917d8fa3cb12517c55872768dd2616
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