Sentence Similarity
sentence-transformers
Safetensors
English
mpnet
embeddings
lora
triplet-loss
cosine-similarity
retrieval
mteb
text-embeddings-inference
Instructions to use MaliosDark/SOFIA-v2-agi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use MaliosDark/SOFIA-v2-agi with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("MaliosDark/SOFIA-v2-agi") 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
Commit History
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Update SOFIA v2.0 AGI model with latest improvements
Verified signature- Added conversational memory capabilities - Integrated tool-augmented retrieval (calculator, time, search) - Enhanced AGI insights and reasoning - Improved MTEB performance to 65.1 - Updated documentation with mermaid diagrams and performance charts - Full HuggingFace compatibility0421892