Instructions to use ansok/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ansok/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ansok/cppe5_use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ansok/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("ansok/cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ansok/cppe5_use_data_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/ansok/cppe5_use_data_finetuning/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://ansok/cppe5_use_data_finetuning@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ansok/cppe5_use_data_finetuning/resolve/refs%2Fpr%2F1/training_args.bin
4.54 kB
- Xet hash:
- 1be898d1e9d198a5f8be67a69331061f57791f0e5c3865482aba83ccc67da762
- Size of remote file:
- 4.54 kB
- SHA256:
- 911e7317d513c12627b7fa3ad4b67bdc8ca3b470fe7c4074bc68c44e0625e11d
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