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:
- 0237dda2839add7e2d4dedd07fba36b0880a47a0d0cece57faae5c622d9436b3
- Size of remote file:
- 438 MB
- SHA256:
- ff12ecb7b2ba84af425f0cd7325b320dedfeba0bceea5a47259b8c0c22cf7e20
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