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:
- 67642c8f78b2d6fd942331348d4d1ff1f6b3584d171aa7f5fe27d1f30da8ded9
- Size of remote file:
- 166 MB
- SHA256:
- c6dd30f4041d1de582a779afc25314c372dc866ddb127188740fbdaa65078447
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