Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
Generated from Trainer
dataset_size:6462
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use brilan/procedure-tool-matching_3_epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use brilan/procedure-tool-matching_3_epochs with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("brilan/procedure-tool-matching_3_epochs") sentences = [ "gain successful RDP authentication", "Creates or Schedules a task.", "Execute processes on other systems complete with full interactivity for console applications without having to manually install client software.", "allows users to execute commands remotely on target systems using various methods including WMI, SMB, SSH, RDP, and PowerShell" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K