Sentence Similarity
sentence-transformers
PyTorch
Safetensors
French
electra
passage-retrieval
Eval Results (legacy)
Instructions to use antoinelouis/biencoder-electra-base-mmarcoFR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use antoinelouis/biencoder-electra-base-mmarcoFR with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("antoinelouis/biencoder-electra-base-mmarcoFR") 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:
- a5fc0f6b07c718f1ab60e84469cf0517cf49f439bfd9d917f10c9f12637caf64
- Size of remote file:
- 440 MB
- SHA256:
- 19c1a49347204358f56d6592d53bc1e4521a2ddeae3b47620066969f400b249f
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