Sentence Similarity
sentence-transformers
Safetensors
English
modernbert
solidity
smart-contract-security
small-model
local-ai
code-retrieval
multi-vector
colbert
defensive-security
evm
text-embeddings-inference
Instructions to use starknet-ai/LateOn-Code-edge-EVMScout-17M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use starknet-ai/LateOn-Code-edge-EVMScout-17M with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("starknet-ai/LateOn-Code-edge-EVMScout-17M") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!