How to use NecroMOnk/malicious-coding-intent-v8-hard-negative-ablation with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("NecroMOnk/malicious-coding-intent-v8-hard-negative-ablation") 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]
How to use NecroMOnk/malicious-coding-intent-v8-hard-negative-ablation with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("NecroMOnk/malicious-coding-intent-v8-hard-negative-ablation", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html
