Sentence Similarity
sentence-transformers
ONNX
Safetensors
Russian
modernbert
feature-extraction
text-embeddings-inference
Instructions to use Pood666/USER2-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Pood666/USER2-small with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Pood666/USER2-small") sentences = [ "Это счастливый человек", "Это счастливая собака", "Это очень счастливый человек", "Сегодня солнечный день" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
File size: 359 Bytes
383fe54 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"__version__": {
"sentence_transformers": "4.0.2",
"transformers": "4.49.0",
"pytorch": "2.6.0"
},
"prompts": {
"classification": "classification: ",
"clustering": "clustering: ",
"search_query": "search_query: ",
"search_document": "search_document: "
},
"default_prompt_name": null,
"similarity_fn_name": "cosine"
} |