Instructions to use luecuch/test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luecuch/test3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="luecuch/test3")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("luecuch/test3") model = AutoModelForObjectDetection.from_pretrained("luecuch/test3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from luecuch/test3: direct link, hf CLI and curl.
- Browser
- Download file 123 MB
-
https://huggingface.co/luecuch/test3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://luecuch/test3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/luecuch/test3/resolve/main/pytorch_model.bin
123 MB
- Xet hash:
- 8513d08b1a214fa5bae8a3139eb5de1af7051f785df18bff6c7045329ed057c2
- Size of remote file:
- 123 MB
- SHA256:
- ace5437b79d2679f73b83a144cec68ef57b81d2cb06459daebc9e4f182afc139
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