Instructions to use Sairii/rt_detrv2_finetuned_trashify_box_detector_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sairii/rt_detrv2_finetuned_trashify_box_detector_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Sairii/rt_detrv2_finetuned_trashify_box_detector_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("Sairii/rt_detrv2_finetuned_trashify_box_detector_v1") model = AutoModelForObjectDetection.from_pretrained("Sairii/rt_detrv2_finetuned_trashify_box_detector_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5b986076b5c6b49bb1a9cf6dfff7166095f49c466b47c4e728b415f12afd379
- Size of remote file:
- 5.91 kB
- SHA256:
- 089d434f475410c8e0c1e34adad716066fc742b36c99d488a8e840fa39261124
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