sidbrahim/narrativesAnalogues-MPNet

Model Trained Using AutoTrain

• Problem type: Sentence Transformers

Validation Metrics

loss: 1.084230661392212

validation_pearson_cosine: 0.8520244193617519

validation_spearman_cosine: 0.7196384923568855

runtime: 144.6206

samples_per_second: 1.328

steps_per_second: 0.083

: 3.0

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

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)