Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
Generated from Trainer
dataset_size:79589
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use lg-software/multilingual-e5-large-instruct-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lg-software/multilingual-e5-large-instruct-ft with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lg-software/multilingual-e5-large-instruct-ft") sentences = [ "How is the battery connected checked?", "C11 2008。\n", "C11\n" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
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