Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
dense
Generated from Trainer
dataset_size:68
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use Hariprasath5128/Multimodal_marine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Hariprasath5128/Multimodal_marine with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Hariprasath5128/Multimodal_marine") sentences = [ "The Atlantic spotted dolphin is a dolphin found in warm temperate and tropical waters of the Atlantic Ocean. Older members of the species have a very distinctive spotted coloration all over their bodies.", "baikal_seal", "southern_right_whale", "atlantic_spotted_dolphin" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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