Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
Generated from Trainer
dataset_size:66405
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use rsl-ai/fine-tuned-e5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use rsl-ai/fine-tuned-e5-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("rsl-ai/fine-tuned-e5-large") sentences = [ "query: alfa romeo 159 1 9jtdm q progression universal avtomaticheskaja dizel dverej 5 mest 5", "passage: alpine a310", "passage: alfa romeo 159", "passage: alfa romeo giulia" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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