Feature Extraction
sentence-transformers
Safetensors
bert
Sentence Transformers
sentence-similarity
text-embeddings-inference
Instructions to use Avditvs/multilingual-e5-small-distill-base-0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Avditvs/multilingual-e5-small-distill-base-0.1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Avditvs/multilingual-e5-small-distill-base-0.1") 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
Name of the model in the examples
#2
by Innovator2K - opened
It's likely that there is a typo, but I want to clarify. Is "Avditvs/multilingual-e5-small-distill-base-0.1" supposed to be used in all examples in the model card, not 'intfloat/multilingual-e5-small' or 'avditvs/multilingual-e5-small-distill-base'?