Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
Generated from Trainer
dataset_size:2940
loss:MultipleNegativesSymmetricRankingLoss
text-embeddings-inference
Instructions to use Gurveer05/paraphrase-mpnet-eedi-2024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Gurveer05/paraphrase-mpnet-eedi-2024 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Gurveer05/paraphrase-mpnet-eedi-2024") sentences = [ "Question:\nAssign probabilities to single events using fractions. There are 4 red balls and 3 yellow balls in a ∪. The image shows the ∪ with the 4 red balls and 3 yellow balls. What is the probability of picking a red ball?.\nAnswer: (4 / 3)", "Does not recognise difference of two squares", "Gives the probability out of the number of non-successes rather than the total", "Shares equally instead of in given ratio" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbf8261543d31ea5cc21614aa0a3eecdad62f0f0b91d842fd95ee69a737b7552
- Size of remote file:
- 438 MB
- SHA256:
- a3bd5b0daddcbb7e89d6984463b64e278416c931adb3ca8be413fb5004621225
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