Sentence Similarity
sentence-transformers
Safetensors
Russian
modernbert
feature-extraction
text-embeddings-inference
Instructions to use deepvk/USER2-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use deepvk/USER2-small with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("deepvk/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] - Inference
- Notebooks
- Google Colab
- Kaggle
Download assets/mrl.png from deepvk/USER2-small: direct link, hf CLI and curl.
- Browser
- Download file 134 kB
-
https://huggingface.co/deepvk/USER2-small/resolve/main/assets/mrl.png
- Command line
-
hf download hf://deepvk/USER2-small/assets/mrl.png
-
curl -L -o mrl.png https://huggingface.co/deepvk/USER2-small/resolve/main/assets/mrl.png
134 kB

- Xet hash:
- 235d31f2495a09224ac8ebdc23ebfb49883eaf5a85a528864d3ab14fdacd1815
- Size of remote file:
- 134 kB
- SHA256:
- a020469efa3c0a2b05f18442d85d96f91e760f712ede7163a4b660412369d231
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