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:
- d84d524a4fe495299f751a48e4115aa17ca4eddcf31b4311bbb06df5b4c60957
- Size of remote file:
- 172 MB
- SHA256:
- 0ecd4fd157a4249c84378917938cc5bdf9e8761790349e520608a0238dcf6505
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