Sentence Similarity
sentence-transformers
Safetensors
Spanish
modernbert
biomedical
spanish
bi-encoder
embeddings
retrieval
text-embeddings-inference
Instructions to use SINAI/ALIA-MrBERT-es-biomedical-embeddings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use SINAI/ALIA-MrBERT-es-biomedical-embeddings with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("SINAI/ALIA-MrBERT-es-biomedical-embeddings") 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
- Xet hash:
- 78bd44a8bc1b829e318a88de32da7042b2fdccff30e76bb35e96cea62ce33f6d
- Size of remote file:
- 1.07 MB
- SHA256:
- ed8dc3e139a6f2c6e1781996aabfef34c32241dcff263dbc66cf69b4760aeee9
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