Instructions to use mingsung/working with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mingsung/working with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="mingsung/working")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("mingsung/working") model = AutoModelForObjectDetection.from_pretrained("mingsung/working", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mingsung/working: direct link, hf CLI and curl.
- Browser
- Download file 4.16 kB
-
https://huggingface.co/mingsung/working/resolve/main/training_args.bin
- Command line
-
hf download hf://mingsung/working/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mingsung/working/resolve/main/training_args.bin
4.16 kB
- Xet hash:
- 7877c2cc389b043024f58120a800bb875cbda7bbc336c689999df313522c5478
- Size of remote file:
- 4.16 kB
- SHA256:
- aaebc5ae0cca0b9fe6febade5fef1be59453b5ecaec8d9b58febccef28af213b
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