Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
Generated from Trainer
dataset_size:4532
loss:CoSENTLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use seregadgl101/test_bge_10ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use seregadgl101/test_bge_10ep with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("seregadgl101/test_bge_10ep") sentences = [ "гантели грифы штанги гири", "гири", "коммутатор poe web настраиваемый utp3526ts-psb", "игровой монитор lg xg2705" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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