How to use axiotic/ogma-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("axiotic/ogma-large", trust_remote_code=True) sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
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"""Compatibility exports for Ogma configuration.""" from .configuration_ogma import OgmaConfig, PoolingType, TaskToken, VariantType __all__ = ["OgmaConfig", "VariantType", "PoolingType", "TaskToken"]
