Sentence Similarity
sentence-transformers
PyTorch
Chinese
bert
feature-extraction
text-embeddings-inference
Instructions to use oldhu/text2vec-lert-base-5-tasks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use oldhu/text2vec-lert-base-5-tasks with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("oldhu/text2vec-lert-base-5-tasks") sentences = [ "那是 個快樂的人", "那是 條快樂的狗", "那是 個非常幸福的人", "今天是晴天" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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