Sentence Similarity
sentence-transformers
PyTorch
Slovak
roberta
feature-extraction
sts
text-embeddings-inference
Instructions to use kinit/slovakbert-sts-stsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use kinit/slovakbert-sts-stsb with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("kinit/slovakbert-sts-stsb") sentences = [ "Izrael uskutočnil letecké údery v blízkosti Damasku.", "Izrael uskutočnil vzdušný útok na Sýriu.", "Pes leží na gauči a má hlavu na bielom vankúši." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b0ef068f61a23f235d88777f4ff277e556f6327f0d567cb1d2df9d6ac8a900d
- Size of remote file:
- 499 MB
- SHA256:
- 2c37550b2742afa71a1d36ec08b8c819f213562b045e25517b83e106f8f8c27f
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