Sentence Similarity
sentence-transformers
Safetensors
Portuguese
modernbert
feature-extraction
semantic-search
embeddings
portuguese
brazilian-portuguese
pt-br
b2b
fine-tuned
mteb
granite
autoresearch
Eval Results (legacy)
text-embeddings-inference
Instructions to use calneymgp/braza-embedding-ptbr-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use calneymgp/braza-embedding-ptbr-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("calneymgp/braza-embedding-ptbr-v1") 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
- Xet hash:
- 4e736cf09438600d71b8530d68313f63d7384c15c7ca78ec304787eeb9060429
- Size of remote file:
- 25.3 MB
- SHA256:
- 36b324129dcc6017a074acf4f0022255c2733fb8e8e268060fd782948382043b
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