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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| from transformers import PretrainedConfig | |
| class SiameseConfig(PretrainedConfig): | |
| model_type = "siamese" | |
| def __init__( | |
| self, | |
| **kwargs): | |
| super().__init__(**kwargs) | |
| siamese_config = SiameseConfig() | |
| siamese_config.save_pretrained('siamse_nn') |