Instructions to use kmc0003a/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kmc0003a/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="kmc0003a/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("kmc0003a/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("kmc0003a/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 931d1363ce79ea3269205b22f9a1fd6561df32c4c0e5dbc74944f8df61bcacfd
- Size of remote file:
- 166 MB
- SHA256:
- bbad4b3a76016e2b35d02e30f595b1a442f1fce317922c8a681b3ad1db6e00c7
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