Instructions to use taicun/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taicun/test1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="taicun/test1")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("taicun/test1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from taicun/test1: direct link, hf CLI and curl.
- Browser
- Download file 96 Bytes
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https://huggingface.co/taicun/test1/resolve/main/README.md
- Command line
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hf download hf://taicun/test1/README.md
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curl -L -o README.md https://huggingface.co/taicun/test1/resolve/main/README.md
96 Bytes
| license: apache-2.0 | |
| pipeline_tag: object-detection | |
| tags: | |
| - object detection | |
| - meter | |
| test |