Sentence Similarity
sentence-transformers
PyTorch
English
bert
feature-extraction
text-embeddings-inference
Instructions to use valurank/MiniLM-L6-Keyword-Extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use valurank/MiniLM-L6-Keyword-Extraction with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("valurank/MiniLM-L6-Keyword-Extraction") 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:
- 340c711f718dcb27266d7d6584492af3d2384e6f5ce3cbdc8d11761cefb033d5
- Size of remote file:
- 90.9 MB
- SHA256:
- c3a85f238711653950f6a79ece63eb0ea93d76f6a6284be04019c53733baf256
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