Sentence Similarity
sentence-transformers
Safetensors
Portuguese
English
mpnet
feature-extraction
biomedical
hpo
phenotype
entity-linking
rare-disease
portuguese
brazilian-portuguese
clinical-nlp
medical-nlp
sus
biolord
text-embeddings-inference
Instructions to use Raras-AI/araras-hpo-brasil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Raras-AI/araras-hpo-brasil with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Raras-AI/araras-hpo-brasil") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
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