Sentence Similarity
sentence-transformers
Safetensors
Dutch
English
xlm-roberta
feature-extraction
Generated from Trainer
dataset_generator
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use danielnoumon/multilingual-e5-large-ai-act-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use danielnoumon/multilingual-e5-large-ai-act-nl with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("danielnoumon/multilingual-e5-large-ai-act-nl") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac47f1f8676d6f5ac041d2f4e67657250aabefe53cd4b7ec822fa029a293d631
- Size of remote file:
- 16.8 MB
- SHA256:
- 3fe715a86a37cd2b20e5eaeee8b22815bce65de676d1e0cd856114b59dab67fc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.