Sentence Similarity
sentence-transformers
Safetensors
Russian
bert
feature-extraction
embeddings
distillation
nli
masl
task-specification
agent
text-embeddings-inference
Instructions to use FractalGPT/E5SmallDistilV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use FractalGPT/E5SmallDistilV2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("FractalGPT/E5SmallDistilV2") 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
- Xet hash:
- a66dfa4519fe65c249de04eb0d37de838255a46559e117b22be77455a018d9b8
- Size of remote file:
- 17.1 MB
- SHA256:
- cd98e5698b201ba914efb8c18b6709fa8735ab71dcad8d2b431e52e8bf68d932
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