Sentence Similarity
sentence-transformers
PyTorch
Safetensors
French
xlm-roberta
passage-retrieval
Eval Results (legacy)
text-embeddings-inference
Instructions to use antoinelouis/biencoder-mMiniLMv2-L6-mmarcoFR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use antoinelouis/biencoder-mMiniLMv2-L6-mmarcoFR with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("antoinelouis/biencoder-mMiniLMv2-L6-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
Download pytorch_model.bin from antoinelouis/biencoder-mMiniLMv2-L6-mmarcoFR: direct link, hf CLI and curl.
- Browser
- Download file 428 MB
-
https://huggingface.co/antoinelouis/biencoder-mMiniLMv2-L6-mmarcoFR/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://antoinelouis/biencoder-mMiniLMv2-L6-mmarcoFR/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/antoinelouis/biencoder-mMiniLMv2-L6-mmarcoFR/resolve/main/pytorch_model.bin
428 MB
- Xet hash:
- e2fc8f9aeb24dbfbc168075de5c3ad79e8cb0d9be4f4f632f0171c8330c84978
- Size of remote file:
- 428 MB
- SHA256:
- 58a8be1d2783de0b178078b9ef048b18971910540ca33817d4af6e08e67d4d09
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