Instructions to use perticarari/test_embedder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use perticarari/test_embedder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("perticarari/test_embedder") 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
Create README.md
Browse files
README.md
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---
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license: mit
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datasets:
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- sentence-transformers/stsb
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language:
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- en
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base_model:
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- google-bert/bert-base-uncased
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pipeline_tag: sentence-similarity
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library_name: sentence-transformers
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---
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