Sentence Similarity
sentence-transformers
Safetensors
Arabic
English
bert
feature-extraction
Generated from Trainer
loss:CosineSimilarityLoss
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use silma-ai/silma-embedding-matryoshka-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use silma-ai/silma-embedding-matryoshka-v0.1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("silma-ai/silma-embedding-matryoshka-v0.1") sentences = [ "هذا شخص سعيد", "هذا كلب سعيد", "هذا شخص سعيد جدا", "اليوم هو يوم مشمس" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- `optim`: adamw_torch_fused
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- `batch_sampler`: no_duplicates
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**[training script](https://github.com/UKPLab/sentence-transformers/blob/
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### Framework Versions
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- Python: 3.10.14
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**[training script](https://github.com/UKPLab/sentence-transformers/blob/v2.4-release/examples/training/matryoshka/matryoshka_sts.py)**
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### Framework Versions
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- Python: 3.10.14
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