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:
- c12c3a4a1afc6e602353c43a2c416199b09af7378098abb407a62e38e208c7c7
- Size of remote file:
- 438 MB
- SHA256:
- 1165a1e2885133aae40c2435359eaabe9899bcf75ce1e9c6235cddc10d25dc00
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