Sentence Transformers: all-MiniLM-L12-v2embedding

Описание

The all-MiniLM-L12-v2 embedding model maps sentences and short paragraphs into a 384-dimensional dense vector space, producing efficient and high-quality semantic embeddings optimized for tasks such as semantic search, clustering, and...

Возможности

Модальности

Характеристики

API и примеры кода

from openai import OpenAI

client = OpenAI(
    base_url="https://infergate.ru/api/v1",
    api_key="ig-•••",
)

resp = client.embeddings.create(
    model="sentence-transformers/all-minilm-l12-v2",
    input="Текст для векторизации",
)
print(resp.data[0].embedding[:8])

Поддерживаемые параметры запроса