Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
ONNX
Safetensors
OpenVINO
distilbert
feature-extraction
text-embeddings-inference
Instructions to use sentence-transformers/distiluse-base-multilingual-cased-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers/distiluse-base-multilingual-cased-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/distiluse-base-multilingual-cased-v1") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
📋 Documentation Enhancement Suggestion
#10 opened 4 months ago
by
CroviaTrust
📋 Documentation Enhancement Suggestion
#9 opened 4 months ago
by
CroviaTrust
Ornn generating vector with 768 dimensions instead of 512
➕ 2
1
#8 opened about 1 year ago
by
lazarim
Where can I find the datasets used to train this model?
#7 opened over 1 year ago
by
aimodelsuser
Question: How well this model will perform on Russian Language?
#6 opened almost 2 years ago
by
Ammad1Ali