baconnier/Finance_embedding_large_en-V0.1

Uso Directo (Sentence Transformers)

Primero instala la librería de Sentence Transformers:

pip install -U sentence-transformers

Luego puedes cargar este modelo y ejecutar inferencias.

from sentence_transformers import SentenceTransformer

# Descargar desde el 🤗 Hub
model = SentenceTransformer('baconnier/Finance_embedding_large_en-V0.1')

# Ejecutar inferencias
sentences = [
  'How many companies are listed on the NYSE?',
  'What are the trading hours of the New York Stock Exchange?',
  'Why do Maple Leaf coins often trade at a premium over their metal content value?'
]

embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 1024]

# Obtener las puntuaciones de similitud para las incrustaciones
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]