Sentence Similarity
sentence-transformers
Safetensors
multilingual
modernbert
agentic-intelligence-lab
elephant
embeddings
retrieval
rag
agents
routing
memory
matryoshka
long-context
Eval Results (legacy)
text-embeddings-inference
Instructions to use agentic-in/elephant-embeddings-v1-text-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use agentic-in/elephant-embeddings-v1-text-small with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("agentic-in/elephant-embeddings-v1-text-small") 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
| { | |
| "model_type": "SentenceTransformer", | |
| "__version__": { | |
| "sentence_transformers": "5.3.0.dev0", | |
| "transformers": "4.57.6", | |
| "pytorch": "2.9.1+git8907517" | |
| }, | |
| "prompts": { | |
| "query": "", | |
| "document": "" | |
| }, | |
| "default_prompt_name": null, | |
| "similarity_fn_name": "cosine" | |
| } |