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
Download training_args.bin from davanstrien/detr-resnet-50_find_tuned_beyond_words: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/davanstrien/detr-resnet-50_find_tuned_beyond_words/resolve/main/training_args.bin
- Command line
-
hf download hf://davanstrien/detr-resnet-50_find_tuned_beyond_words/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/davanstrien/detr-resnet-50_find_tuned_beyond_words/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 587e3290da0d2f32b96f264fef36497daf0bf96e9f62267e43e052537b419767
- Size of remote file:
- 3.58 kB
- SHA256:
- e83fea75482c99f606179fba473180246cc8bbee001a5a23ca34de46684970a0
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