Model Trained Using AutoTrain
- Problem type: Sentence Transformers
Validation Metrics
loss: 0.8379377126693726
cosine_accuracy: 0.9651162790697675
runtime: 77.5038
samples_per_second: 1.11
steps_per_second: 0.142
: 2.9411764705882355
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)
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