Sentence Similarity
sentence-transformers
Safetensors
qwen3
feature-extraction
text-embeddings-inference
Instructions to use neilchadli/baseqwen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use neilchadli/baseqwen with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("neilchadli/baseqwen") 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:
- 6aec39639a0a2d1ca966356b8c2b8426a484f80ff80731f44fa8482040713bdf
- Size of remote file:
- 11.4 MB
- SHA256:
- aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
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