Sentence Similarity
sentence-transformers
Safetensors
English
qwen3
embeddings
skill-retrieval
llm-agents
contrastive-learning
text-embeddings-inference
Instructions to use ThakiCloud/SKILLRET-Embedding-0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ThakiCloud/SKILLRET-Embedding-0.6B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ThakiCloud/SKILLRET-Embedding-0.6B") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b196c5dd2aa4f7b0e3c6a1614225a789ef34232f1dc3d98f5906d7d53db7f81
- Size of remote file:
- 11.4 MB
- SHA256:
- db74fda9dc5dbe348cb79bda440c969b3ac982a78358d8d884f64ce92098b104
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