Sentence Similarity
sentence-transformers
Safetensors
English
qwen3
feature-extraction
skill-retrieval
embedding
Eval Results (legacy)
text-embeddings-inference
Instructions to use anonymous-ed-benchmark/SKILLRET-Embedding-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use anonymous-ed-benchmark/SKILLRET-Embedding-8B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("anonymous-ed-benchmark/SKILLRET-Embedding-8B") 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
Add model-00001-of-00004.safetensors
Browse files
model-00001-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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size 3943706544
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