Sentence Similarity
sentence-transformers
ONNX
Safetensors
German
English
Russian
modernbert
embeddings
feature-extraction
multilingual
german
english
russian
quantized
int4
edge
retrieval
text-embeddings-inference
Instructions to use kyr0/Winzling-Embed-a8m-64k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use kyr0/Winzling-Embed-a8m-64k with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("kyr0/Winzling-Embed-a8m-64k") sentences = [ "Das ist eine glückliche Person", "Das ist ein glücklicher Hund", "Das ist eine sehr glückliche Person", "Heute ist ein sonniger Tag" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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