nomic-embed-philosophy-triplets_v9

Primero, instala la biblioteca de Sentence Transformers:

pip install -U sentence-transformers

Luego puedes cargar este modelo y ejecutar la inferencia:

from sentence_transformers import SentenceTransformer

# Descargar del hub de 🤗
model = SentenceTransformer("m7n/nomic-embed-philosophy-triplets_v9")
# Ejecutar la inferencia
sentences = [
    'compare the remarks in On Habituations ...',
    'own characteristically, indeed uniquely, polemical style. For instance, ...',
    'Hippocrates and Plato but in spite of ...'
]
embeddings = model.encode(sentences)
print(embeddings.shape)  # [3, 768]

# Obtener los puntajes de similitud para los embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)  # [3, 3]