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:
- 6cfdbdc89d5fbf80702f68d552a0e651759ff5616c61ba8fdb07426d42a9e60f
- Size of remote file:
- 176 MB
- SHA256:
- 8954e161e233feeb155f38e24d5a67ecf6e07edf1a9332a34fef74a65291e027
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