Instructions to use luecuch/test4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luecuch/test4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="luecuch/test4")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("luecuch/test4") model = AutoModelForObjectDetection.from_pretrained("luecuch/test4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from luecuch/test4: direct link, hf CLI and curl.
- Browser
- Download file 123 MB
-
https://huggingface.co/luecuch/test4/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://luecuch/test4/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/luecuch/test4/resolve/main/pytorch_model.bin
123 MB
- Xet hash:
- 92f04467aef2df1b2baa8b5be9c874d98b55b717664a346da26b0fb7dcebf490
- Size of remote file:
- 123 MB
- SHA256:
- 9853613b8a5f98cc38bb293f58511bb364dc53c7c3f0751ad4bfe5580b0d2bae
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