Sentence Similarity
sentence-transformers
Safetensors
Russian
Kazakh
legal
semantic-search
retrieval
faiss
fastapi
openai
Instructions to use irinaqqq/lexir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use irinaqqq/lexir with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("irinaqqq/lexir") 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
| --extra-index-url https://download.pytorch.org/whl/cu121 | |
| torch | |
| torchvision | |
| torchaudio | |
| datasets | |
| sentence-transformers | |
| transformers[torch] | |
| faiss-cpu | |
| numpy | |
| pydantic | |
| fastapi | |
| uvicorn | |
| openai | |
| bs4 | |
| langdetect | |
| requests | |
| lxml | |
| matplotlib |