Instructions to use Jl-wei/app-intro-img-cropper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jl-wei/app-intro-img-cropper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Jl-wei/app-intro-img-cropper")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Jl-wei/app-intro-img-cropper") model = AutoModelForObjectDetection.from_pretrained("Jl-wei/app-intro-img-cropper", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Jl-wei/app-intro-img-cropper: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/Jl-wei/app-intro-img-cropper/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Jl-wei/app-intro-img-cropper/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Jl-wei/app-intro-img-cropper/resolve/main/pytorch_model.bin
167 MB
- Xet hash:
- f758b9d9241bab266a6edcf6e8bf694c2e05cf720b2d77014c1e52ad655530e1
- Size of remote file:
- 167 MB
- SHA256:
- 5a242496203050391cfce684eefcc16dccf8fc8d75431d8e309dfc45bad3969d
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