Instructions to use AlanRobotics/aisaac-siamese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlanRobotics/aisaac-siamese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AlanRobotics/aisaac-siamese", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AlanRobotics/aisaac-siamese", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 745675630bbd15a69c4131c7df16258e200be693217344fbc27ba9d605ea3780
- Size of remote file:
- 47.2 MB
- SHA256:
- c5d93a8fd60ee39c7814dc5f7dff1819288f941a94f6c2cef936fad6515074a6
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