Instructions to use kimteawan/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kimteawan/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="kimteawan/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("kimteawan/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("kimteawan/cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d556f72691810b5af0d66722a4f4ec7469f6ff1a7910746bbedd0ed4950f0932
- Size of remote file:
- 4.54 kB
- SHA256:
- e65022a9c9f7a2252a5ab7f553bca7ae735d5ab850724aceace952483247be9b
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