Instructions to use henryn/detr_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryn/detr_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="henryn/detr_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("henryn/detr_test") model = AutoModelForObjectDetection.from_pretrained("henryn/detr_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from henryn/detr_test: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/henryn/detr_test/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://henryn/detr_test/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/henryn/detr_test/resolve/main/pytorch_model.bin
167 MB
- Xet hash:
- d29f85089325afcd83baf3e3acc77594cb246b74aef151346c4f433a06cc1f83
- Size of remote file:
- 167 MB
- SHA256:
- 14ffa0ee8618d3f141c2c6d78490381811769f83b6184464aa531ec9ff1cdc2d
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