Sentence Similarity
sentence-transformers
Safetensors
Turkish
modernbert
feature-extraction
turkish
mteb
text-embeddings-inference
Instructions to use moganai/MoganBERT-Embed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use moganai/MoganBERT-Embed with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("moganai/MoganBERT-Embed") 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
-
Centered Buy Me a Coffee footer
Verified signaturec9356e2 -
Shrink Buy Me a Coffee footer button
Verified signature36860f9 -
Compact left-aligned Buy Me a Coffee footer
Verified signatured81048a -
Shrink Buy Me a Coffee footer button
Verified signature133c6cd -
Add Buy Me a Coffee footer
Verified signaturee36961c -
Add Buy Me a Coffee badge
Verified signaturee3605bc
-
Update model names and cross-links after repo rename
Verified signaturec1e49a8 -
Update banner (transparent background), single banner at top
Verified signature6570007 -
Fix image extensions (png -> jpg)
Verified signatureb52f322 -
Add model weights, tokenizer and bilingual model card
Verified signature24b8beb