arabic-embedding-model-pair-class2

Model Trained Using AutoTrain

• Problem type: Sentence Transformers

Validation Metrics

loss: 1.1031256914138794

runtime: 10.5532

samples_per_second: 473.788

steps_per_second: 14.877

: 4.9968010236724245

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)