Instructions to use davanstrien/detr-resnet-50_find_tuned_beyond_words with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/detr-resnet-50_find_tuned_beyond_words with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="davanstrien/detr-resnet-50_find_tuned_beyond_words")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("davanstrien/detr-resnet-50_find_tuned_beyond_words") model = AutoModelForObjectDetection.from_pretrained("davanstrien/detr-resnet-50_find_tuned_beyond_words", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 633776c52c50b8a819a2310e69e95b65a6dc9478d09a73a632c4f2440bdead22
- Size of remote file:
- 167 MB
- SHA256:
- be524d5795a445d8e970d86c2a53812693747001980c7b605c3f1079d10806ec
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