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-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use yagosys/cloudinit-embedding-v4 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("yagosys/cloudinit-embedding-v4") sentences = [ "cloudinit", "firewall rule management", "instance initialization", "user-data" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed5a248d1d61da133e08b7b61b2cacaf4af0154e00e9f2771c6081b70b330feb
- Size of remote file:
- 90.9 MB
- SHA256:
- 6c8b5614151b3eb0acd56b3d22108c8c38af3996f6363d4c8e4789a199bf0fae
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