sentence-transformers How to use Lauther/d4-embeddings-v2.0 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Lauther/d4-embeddings-v2.0")
sentences = [
"PTE CRUZEIRO B",
"What is an Installation?\nAn Installation is a physical or operational site where measurement systems and equipment are deployed. These locations can include processing plants, industrial facilities, or other operational sites. Installations serve as key points for monitoring and managing measurement processes. Examples include \"Cexis\" or \"Processing Plant XYZ.\"",
"What is a Measurement Unit?\nA Measurement Unit defines the standard for quantifying a physical magnitude (e.g., temperature, pressure, volume). It establishes a consistent reference for interpreting values recorded in a measurement system.\n\nEach measurement unit is associated with a specific magnitude, ensuring that values are correctly interpreted within their context. For example:\n\n- °C (Celsius) → Used for temperature\n- psi (pounds per square inch) → Used for pressure\n- m³ (cubic meters) → Used for volume\nMeasurement units are essential for maintaining consistency across recorded data, ensuring comparability, and enabling accurate calculations within measurement systems.",
"What is uncertainty?\nUncertainty is a measure of confidence in the precision and reliability of results obtained from equipment or measurement systems. It quantifies the potential error or margin of error in measurements.\n\nTypes of uncertainty:\nThere are two main types of uncertainty:\n1. Uncertainty of magnitudes (variables):\n - Refers to the uncertainty of specific variables, such as temperature or pressure.\n - It is calculated after calibrating a device or obtained from the **equipment** manufacturer's manual.\n - This uncertainty serves as a starting point for further calculations related to the equipment.\n\n2. Uncertainty of the measurement system:\n - Refers to the uncertainty calculated for the overall flow measurement.\n - It depends on the uncertainties of the individual variables (magnitudes) and represents the combined margin of error for the entire system.\n\nKey points:\n- The uncertainties of magnitudes (variables) are the foundation for calculating the uncertainty of the measurement system. Think of them as the \"building blocks.\"\n- Do not confuse the two types of uncertainty:\n - **Uncertainty of magnitudes/variables**: Specific to individual variables (e.g., temperature, pressure).\n - **Uncertainty of the measurement system**: Specific to the overall flow measurement."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
