Instructions to use yafsin/test121212 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use yafsin/test121212 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("yafsin/test121212") 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:
- 5c32851872b85b280d074fd0a5d21a338a1721594ff49b9a32008e47e075db23
- Size of remote file:
- 134 MB
- SHA256:
- 7d46bacb98c93be1616345556b9b06ecc5173ece03c75808008b74a243693758
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