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
- Xet hash:
- b66f6ffa00689db2c77b9548af828967daad82394c9964ce218e63e07f996157
- Size of remote file:
- 47.2 MB
- SHA256:
- fb6a1018cb849b43b3987d1945efe7e60144ea52e84c0733681ec2c03da6ab38
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