Sentence Similarity
sentence-transformers
Safetensors
Spanish
xlm-roberta
passage-retrieval
pruned
text-embeddings-inference
Instructions to use CarlosRCDev/spanish-snowflake-arctic-embed-l-v2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use CarlosRCDev/spanish-snowflake-arctic-embed-l-v2.0 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("CarlosRCDev/spanish-snowflake-arctic-embed-l-v2.0") 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
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