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:
- 7bdad5c170c1faee95a16cffb60eb0e2403d666dddf104f3f2fdf846afc4fb3d
- Size of remote file:
- 167 MB
- SHA256:
- 98f374a5ac5d38efb6d4f8c7ad20209d52bb05d179bbbb4ed07e897d840c5c42
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