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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("taicun/test1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7da0a617639aa43c7858ff38ff844c3fca38d662ae64295e461b2be5590f7bfe
- Size of remote file:
- 352 MB
- SHA256:
- ccca7d3372b165a6ae077650400375d4f0f16cd1d34fc4ea710e1dcf82e97b90
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