Sentence Similarity
sentence-transformers
Safetensors
Portuguese
gemma3_text
embeddings
portuguese
vocabulary-trimming
mteb
text-embeddings-inference
Instructions to use tardellirs/embeddinggemma-pt-br with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use tardellirs/embeddinggemma-pt-br with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tardellirs/embeddinggemma-pt-br") 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:
- e63fd73be0e29842728cc6c6099589b1e9a477925f256ec39bb122e7420f084d
- Size of remote file:
- 4 MB
- SHA256:
- 5c8e22ca94be95ab7ec41bd6fcecb1803e09e046a9577485dbc62d00d0723d17
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