sentence-transformers How to use VaggP/bge-fine-tuned with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("VaggP/bge-fine-tuned")
sentences = [
"\nConstruct: Recognise a linear graph from its shape\nSubject: Finding the Gradient and Intercept of a Line from the Equation\nQuestion: Use a graphing program (e.g. Desmos) to plot the following pairs of functions.\n\\[\ny=3 \\text { and } y=-2\n\\]\n\nTom says both functions are linear\n\nKatie says both functions are vertical lines\n\nWho is correct?\nIncorrect Answer: Neither is correct\nCorrect Answer: Only\nTom\n",
"Believes the coefficent of x in an expanded quadratic comes from multiplying the two numbers in the brackets",
"Does not know the properties of a linear graph",
"Misremembers the quadratic formula"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
