Sentence Similarity
sentence-transformers
English
ros2
ros
robotics
rag
retrieval
faiss
documentation
qwen
offline
Instructions to use eoinedge/ros2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use eoinedge/ros2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("eoinedge/ros2") 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:
- 3a9424004e4665ff9e8039ae1c0ff4f69198881e07b926f9523b915e3eb302aa
- Size of remote file:
- 7.89 MB
- SHA256:
- 405cb7774c744642ec9f9f8566574df98066fbcd26e96269c5b37831c016d975
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