Instructions to use RIOLITE/sentence_transformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use RIOLITE/sentence_transformers with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("RIOLITE/sentence_transformers") 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:
- 712df344c7c0fc10ff4292fa1269f90fe02f155f343a6da7a8f077f03977e370
- Size of remote file:
- 90.9 MB
- SHA256:
- cb5138272fb1ed6872e319f413049985f5e1b8e7a4ecdfcd079e8fd93c311b49
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