Instructions to use brianmg/mg_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brianmg/mg_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="brianmg/mg_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("brianmg/mg_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("brianmg/mg_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d801b42b4d5849adea06f968a9dcb02e1320d26dccaae7cde556e5b2aedd2af
- Size of remote file:
- 4.54 kB
- SHA256:
- 909d3e0809f38af76a1feb748364b8b021dac11f266754a11285126708bb5e24
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