Sentence Similarity
sentence-transformers
PyTorch
Safetensors
English
mpnet
Text Classification
text-embeddings-inference
Instructions to use PeppoCola/FewShotIssueClassifier-NLBSE23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use PeppoCola/FewShotIssueClassifier-NLBSE23 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("PeppoCola/FewShotIssueClassifier-NLBSE23") 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
- Xet hash:
- f88efac36d9c7b948181b5377eb254f315b86f87c6485a81392798b63015d7eb
- Size of remote file:
- 25.5 kB
- SHA256:
- 5784cb4a7e2a485768be550bf9eedf4b9ae810256e3d9174cfc7c73f6cbf1fb7
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