Instructions to use se0kcess/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use se0kcess/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="se0kcess/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("se0kcess/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("se0kcess/cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94d2bb9f4e9a8b3769e83d23c959da05fad4456ca863a85fdd6cc9cb7895f04a
- Size of remote file:
- 4.54 kB
- SHA256:
- a9c665cb6391565c9cdcd469b1970d4bb18e67b3c893c9806072f49fb2186635
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