Model Trained Using AutoTrain
- Problem type: Sentence Transformers
Validation Metrics
loss: 0.015061055310070515
validation_pearson_cosine: 0.9472155706694764
validation_spearman_cosine: 0.7500197100461503
runtime: 19.4215
samples_per_second: 9.886
steps_per_second: 0.618
: 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)