Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
Generated from Trainer
dataset_size:12210
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use Gurveer05/mpnet-base-eedi-2024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Gurveer05/mpnet-base-eedi-2024 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Gurveer05/mpnet-base-eedi-2024") sentences = [ "Construct: Convert fractions to ratios.\n\nQuestion: (3 / 7) of a group of students are boys.\nWhat would be a possible ratio of boys to girls?\n\nOptions:\nA. 3: 7\nB. 3: 4\nC. 3: 10\nD. 4: 3\n\nCorrect Answer: 3: 4\n\nIncorrect Answer: 4: 3\n\nPredicted Misconception: Confusing fractions with whole number ratios directly.", "Does not understand that a remainder can be written as a fraction", "Difficulty with translating a mathematical answer into a real world context", "Gets order of ratio wrong" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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