Sentence Similarity
sentence-transformers
PyTorch
mpnet
feature-extraction
text-embeddings-inference
Instructions to use copenlu/spiced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use copenlu/spiced with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("copenlu/spiced") 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
Commit ·
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Parent(s): eff4b46
Librarian Bot: Update dataset YAML metadata for model
Browse filesThis is a pull request to add a dataset, [`copenlu/spiced`](https://huggingface.co/datasets/copenlu/spiced), to the metadata for your model (defined in the `YAML` block of your model's `README.md`).
The pull request was made by [librarian-bot](https://huggingface.co/librarian-bot) and used a combination of rules and/or machine learning to suggest this additional metadata.
If this suggestion is incorrect, feel free to close this pull request.
Librarian Bot was made by [@davanstrien](https://huggingface.co/davanstrien); feel free to get in touch with feedback.
README.md
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pipeline_tag: sentence-similarity
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tags:
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- feature-extraction
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- sentence-similarity
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# copenlu/spiced
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tags:
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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datasets: copenlu/spiced
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pipeline_tag: sentence-similarity
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# copenlu/spiced
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