Instructions to use JoBeer/sentence-t5-base-eclass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use JoBeer/sentence-t5-base-eclass with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("JoBeer/sentence-t5-base-eclass") 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
File size: 134 Bytes
d8054d5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a87b4e9ca4a298282611c03d4a921c4f1d3cbb17d106904c3b7e15fab1ce0483
size 438547994
|