Sentence Similarity
sentence-transformers
Safetensors
Persian
albert
feature-extraction
persian
matryoshka
mteb
Instructions to use shekar-ai/Noql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use shekar-ai/Noql with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("shekar-ai/Noql") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Commit History
2 days ago
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Update README.md
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16 days ago
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Update benchmark tables with fresh FaMTEB v2 results at all five dimensions
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17 days ago
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Restore original model card; set Shiraz base model and Apache-2.0 metadata
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Replace Noql with stage 2 round 2 checkpoint 1500 and matching ZWNJ tokenizer
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25 days ago
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Update README.md
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Make configs compatible with sentence-transformers 2.7+ and transformers 4.x/5.x
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Release Noql
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initial commit
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