Sentence Similarity
sentence-transformers
TensorBoard
Safetensors
bert
feature-extraction
Trained with AutoTrain
text-embeddings-inference
Instructions to use cnmoro/bert-tiny-embeddings-english-portuguese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use cnmoro/bert-tiny-embeddings-english-portuguese with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("cnmoro/bert-tiny-embeddings-english-portuguese") sentences = [ "dogs are playful", "i love cats", "i love dogs" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
runs/Dec24_10-38-00_Moro/events.out.tfevents.1735047481.Moro.2829759.0
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