Sentence Similarity
sentence-transformers
Safetensors
French
xlm-roberta
feature-extraction
dataset_size:10K<n<100K
loss:TripletLoss
text-embeddings-inference
Instructions to use nicolassaint/administration_embedding_large-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use nicolassaint/administration_embedding_large-v0.1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nicolassaint/administration_embedding_large-v0.1") sentences = [ "DAS", "DEFD", "résilier", "exemple_1" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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