Feature Extraction
OpenVINO
sentence-transformers
multilingual
bert
sentence-similarity
intel-npu
intel-gpu
intel-cpu
korean
text-embeddings-inference
Instructions to use seminse/multilingual-e5-small-openvino-npu-static with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use seminse/multilingual-e5-small-openvino-npu-static with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("seminse/multilingual-e5-small-openvino-npu-static") 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
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!