Sentence Similarity
sentence-transformers
Safetensors
multilingual
echo
echo-dsrn
intent-classification
mteb
massive
recurrent-neural-network
rnn
custom_code
Eval Results (legacy)
Instructions to use ethicalabs/Echo-DSRN-v0.1.3-Embed-Intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ethicalabs/Echo-DSRN-v0.1.3-Embed-Intent with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ethicalabs/Echo-DSRN-v0.1.3-Embed-Intent", trust_remote_code=True) 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
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