Sentence Similarity
sentence-transformers
PyTorch
Spanish
roberta
feature-extraction
text-embeddings-inference
Instructions to use ITESM/st_demo_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ITESM/st_demo_6 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ITESM/st_demo_6") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69dcc835cfa64c9a17cf0cd84f2ab7c0be903af1a498954401956a7841174d6c
- Size of remote file:
- 499 MB
- SHA256:
- 56cb66330b3a5d995668381f0b2347cc8ddb67e27c60cefa75f1ce3e6f33b6f8
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