Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:37
loss:CosineSimilarityLoss
text-embeddings-inference
Instructions to use yagosys/cloudinit-embedding-v5-gpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use yagosys/cloudinit-embedding-v5-gpu with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("yagosys/cloudinit-embedding-v5-gpu") sentences = [ "cloud-init", "bootstrapping a cloud server", "infrastructure as code (IaC)", "database replication settings" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
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