Sentence Similarity
sentence-transformers
Safetensors
English
Catalan
mpnet
feature-extraction
dataset_size:1K<n<10K
loss:CoSENTLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use pauhidalgoo/finetuned-sts-ca-mpnet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use pauhidalgoo/finetuned-sts-ca-mpnet-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("pauhidalgoo/finetuned-sts-ca-mpnet-base") sentences = [ "Dia Internacional del Nen Prematur", "Premiats a les comarques de Barcelona", "Les concordances són adjectiu / substantiu o verb / substantiu.", "Els Mossos en busquen un altre, que va aconseguir fugir en ser enxampats 'in fraganti'" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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