Sentence Similarity
sentence-transformers
Safetensors
French
English
xlm-roberta
evalllm2026
text-embeddings-inference
Instructions to use rarmingaud/evalllm2026-mesh-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use rarmingaud/evalllm2026-mesh-finetuned with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("rarmingaud/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:
- 69bb525270296b6dcd919647c949ae89d036436f66c98eac60068ae3cdd9510a
- Size of remote file:
- 2.27 GB
- SHA256:
- 6624c6f87fd2285a1f55562ad93c1d405499f2064058d1edb9e91fde80965672
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