from sentence_transformers import SentenceTransformer

# Download from the Hugging Face Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
    'search_query: autotrain',
    'search_query: auto train',
    'search_query: i love autotrain',
]
embeddings = model.encode(sentences)
print(embeddings.shape)

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)

debasishGoogleNSE/autotrain-medquad

Model Trained Using AutoTrain

Validation Metrics

Usage

Direct Usage (Sentence Transformers)

debasishGoogleNSE/
autotrain-medquad