Sentence Similarity
sentence-transformers
Safetensors
English
Kabyle
xlm-roberta
kabyle
taqbaylit
tamazight
berber
embeddings
cross-lingual
african-languages
nlp
text-embeddings-inference
Instructions to use boffire/kabyle-sentence-transformer-mpnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use boffire/kabyle-sentence-transformer-mpnet with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("boffire/kabyle-sentence-transformer-mpnet") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22ac216b8edff31da585cbf6d1467f2f23b49580e7db2c03a14833ad2462d362
- Size of remote file:
- 16.8 MB
- SHA256:
- c0cb7277b7f6efc61e33bc5daf6f17142babb0bb68b2d5dd600c96471a90c62e
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