Instructions to use dakkoong/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dakkoong/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="dakkoong/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("dakkoong/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("dakkoong/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f26790347074e152ae7125a6e7554db4521305e91674404645366c02f5094dce
- Size of remote file:
- 166 MB
- SHA256:
- 207c202d4c38f3e092065c75d74cc51a949d676a94e64383d293839c6b7c235b
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