Sentence Similarity
sentence-transformers
Safetensors
French
English
xlm-roberta
evalllm2026
text-embeddings-inference
Instructions to use cea-list-ia/evalllm2026-mesh-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use cea-list-ia/evalllm2026-mesh-finetuned with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("cea-list-ia/evalllm2026-mesh-finetuned") 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
- Xet hash:
- 86f4bd0a827a2ab1cf117a1fc77cfc707280e1c4b28211c4709f6f3772f614a0
- Size of remote file:
- 17.1 MB
- SHA256:
- c22c873bd6970792ef31b2db553da32385d49a1fd57f19bbb99d67578ffe6bd6
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