Model Trained Using AutoTrain
- Problem type: Sentence Transformers
Validation Metrics
loss: 0.1504412591457367
cosine_accuracy: 1.0
dot_accuracy: 0.0
manhattan_accuracy: 1.0
euclidean_accuracy: 1.0
max_accuracy: 1.0
runtime: 54.0931
samples_per_second: 0.832
steps_per_second: 0.055
: 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)
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