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
| { | |
| "__version__": { | |
| "sentence_transformers": "3.2.0", | |
| "transformers": "4.45.2", | |
| "pytorch": "2.3.1" | |
| }, | |
| "prompts": {}, | |
| "default_prompt_name": null, | |
| "similarity_fn_name": null | |
| } |