Instructions to use PSW99/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PSW99/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="PSW99/cppe5_use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("PSW99/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("PSW99/cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from PSW99/cppe5_use_data_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/PSW99/cppe5_use_data_finetuning/resolve/bb51c8b2810e2cf878b3da8f2ef5eebcddb91b49/training_args.bin
- Command line
-
hf download hf://PSW99/cppe5_use_data_finetuning@bb51c8b2810e2cf878b3da8f2ef5eebcddb91b49/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/PSW99/cppe5_use_data_finetuning/resolve/bb51c8b2810e2cf878b3da8f2ef5eebcddb91b49/training_args.bin
4.54 kB
- Xet hash:
- 1ab307601d2f93154a56f94b84aef8e511e4c8f73295e0717b95679193337734
- Size of remote file:
- 4.54 kB
- SHA256:
- cd8df953f5019acce873a7b0193c96754730fb12e3819d06847c13da3e4bf814
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