Sentence Similarity
sentence-transformers
Safetensors
multilingual
qwen2
reasoning-embedding
fine-tuned
embeddings
custom_code
text-embeddings-inference
Instructions to use lucaswychan/Qwen-2.5-1.5B-SimpleRL-Zoo-Reasoning-Embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lucaswychan/Qwen-2.5-1.5B-SimpleRL-Zoo-Reasoning-Embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lucaswychan/Qwen-2.5-1.5B-SimpleRL-Zoo-Reasoning-Embedding", trust_remote_code=True) sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c55a90a2f0d2c5180a7c1bd49aeed07c1dc6d1667f8aef85f6d1fa4a315fc43e
- Size of remote file:
- 11.4 MB
- SHA256:
- bb0180d9179612e308a799d915cf8ccbcced4a006b9562e78fa1121cc61cc1b5
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