Instructions to use PCFISH/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PCFISH/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="PCFISH/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("PCFISH/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("PCFISH/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5aad990e7e00fb38c17a6b075b1e07a013c9452083fa2cd409e4e2cdecb38e3
- Size of remote file:
- 167 MB
- SHA256:
- 53213d99f8e0de6fda90caca937653fa3c66d600afd8b8f4e09320c6e97973d5
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