Sentence Similarity
sentence-transformers
PyTorch
mpnet
feature-extraction
text-embeddings-inference
Instructions to use KikiQi/classification_AL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use KikiQi/classification_AL with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KikiQi/classification_AL") 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:
- a7166e994cf204b0706a841590450c7902042e45ea0428498049be7cdec003c8
- Size of remote file:
- 7.3 kB
- SHA256:
- 2d8751dbcb251bfff14063495f1ba79adb460f50b650ae50c2680622c913a43b
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