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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cf119b8a3cf012d0d5eec8ac76a51d0c26edecb026158e5979cf411a351311a
- Size of remote file:
- 47.2 MB
- SHA256:
- e5c97295ea595531192d52248c71d21584e7cacf685739811d1be5f7fb4e0788
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