Instructions to use AlanRobotics/rubert-siamese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlanRobotics/rubert-siamese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AlanRobotics/rubert-siamese", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AlanRobotics/rubert-siamese", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 275 Bytes
54dcf0f cf14450 54dcf0f 6bff269 cf14450 54dcf0f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | 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') |