Instructions to use ksks94/testmm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ksks94/testmm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ksks94/testmm")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ksks94/testmm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from ksks94/testmm: direct link, hf CLI and curl.
- Browser
- Download file 67 Bytes
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https://huggingface.co/ksks94/testmm/resolve/main/config.json
- Command line
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hf download hf://ksks94/testmm/config.json
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curl -L -o config.json https://huggingface.co/ksks94/testmm/resolve/main/config.json
67 Bytes
| {"input_size": 640, "task": "object-detection", "best_ap50": 0.457} |