Instructions to use gkalsrudals/use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gkalsrudals/use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="gkalsrudals/use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("gkalsrudals/use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("gkalsrudals/use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9703d0b5fbea863aa82a7e671893da068ffc411df9c9b49448d5117ba1d56b51
- Size of remote file:
- 167 MB
- SHA256:
- dc9a54165b04d255c3eae2f032aa5c71f5be8c84ddbb5522aea00aa96fe7e5e1
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