Sentence Similarity
sentence-transformers
Safetensors
Spanish
new
passage-retrieval
pruned
custom_code
text-embeddings-inference
Instructions to use CarlosRCDev/spanish-gte-multilingual-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use CarlosRCDev/spanish-gte-multilingual-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("CarlosRCDev/spanish-gte-multilingual-base", trust_remote_code=True) sentences = [ "Esa es una persona feliz", "Ese es un perro feliz", "Esa es una persona muy feliz", "Hoy es un día soleado" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K