Instructions to use hf-tiny-model-private/tiny-random-DetaForObjectDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-DetaForObjectDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hf-tiny-model-private/tiny-random-DetaForObjectDetection")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForObjectDetection model = AutoModelForObjectDetection.from_pretrained("hf-tiny-model-private/tiny-random-DetaForObjectDetection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-tiny-model-private/tiny-random-DetaForObjectDetection: direct link, hf CLI and curl.
- Browser
- Download file 124 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-DetaForObjectDetection/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-DetaForObjectDetection@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-DetaForObjectDetection/resolve/refs%2Fpr%2F1/model.safetensors
124 MB
- Xet hash:
- bdfc9a15c4169f73441dcecca775a7498d46da39132f43dd116c90d826acad63
- Size of remote file:
- 124 MB
- SHA256:
- 7b100f215dd66c4b7ffcd91818f9686862190fed22c806bebaaa1367312ee8d4
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