Instructions to use lambdaofgod/document_nbow_embedder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lambdaofgod/document_nbow_embedder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lambdaofgod/document_nbow_embedder") 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
File size: 124 Bytes
926af57 | 1 2 3 4 5 6 7 | {
"__version__": {
"sentence_transformers": "2.2.2",
"transformers": "4.10.1",
"pytorch": "1.10.0+cu111"
}
} |