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kncmap/autotrain-a5kzn-boeh8
autotrain-a5kzn-boeh8 is a sentence similarity model from kncmap. Use it when you need a score for how close two texts are. It is set up for sentence-transformers.
Downloads · 30 days
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.safetensors93.5 MB · 50%
From the Hugging Face model README
loss: 0.019591916352510452
runtime: 5391.8371
samples_per_second: 1.992
steps_per_second: 0.125
: 3.0
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)