Sentence Similarity
sentence-transformers
Safetensors
Russian
feature-extraction
static-embeddings
binary
russian
8-bit precision
Instructions to use BorisTM/starse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use BorisTM/starse with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("BorisTM/starse") 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
Download .gitattributes from BorisTM/starse: direct link, hf CLI and curl.
- Browser
- Download file 158 Bytes
-
https://huggingface.co/BorisTM/starse/resolve/main/.gitattributes
- Command line
-
hf download hf://BorisTM/starse/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/BorisTM/starse/resolve/main/.gitattributes
158 Bytes
| *.bin filter=lfs diff=lfs merge=lfs -text | |
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |
| assets/rumteb_cpu_latency.png filter=lfs diff=lfs merge=lfs -text | |