Sentence Similarity
sentence-transformers
Safetensors
French
English
xlm-roberta
evalllm2026
text-embeddings-inference
Instructions to use rarmingaud/evalllm2026-mesh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use rarmingaud/evalllm2026-mesh with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("rarmingaud/evalllm2026-mesh") sentences = [ "C'est une personne heureuse", "C'est un chien heureux", "C'est une personne très heureuse", "Aujourd'hui est une journée ensoleillée" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
eccd9ce | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c9aa11237e0fea37d30303dbde2d3a79e6139e531f8aaaad7ed1f04383178d6f
size 17098339
|