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
Download tokenizer.json from moganai/MoganBERT-Embed: direct link, hf CLI and curl.
- Browser
- Download file 3.31 MB
-
https://huggingface.co/moganai/MoganBERT-Embed/resolve/main/tokenizer.json
- Command line
-
hf download hf://moganai/MoganBERT-Embed/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/moganai/MoganBERT-Embed/resolve/main/tokenizer.json
3.31 MB
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