Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
Generated from Trainer
dataset_size:498970
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use YeonwooSung/bge-m3-msmarco-v3-sbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use YeonwooSung/bge-m3-msmarco-v3-sbert with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("YeonwooSung/bge-m3-msmarco-v3-sbert") sentences = [ "how long does engine take to cool down", "Turn off the engine. If you can pop the hood from the driverâs seat, do so â but donât risk opening it by hand until the engine has cooled, especially if you see steam wafting off the engine. It typically takes a solid 30 minutes for an engine to cool down enough for it to be safe to handle.", "Realism as an art movement was led by Gustave Courbet in France. It spread across Europe and was influential for the rest of the century and beyond, but as it became adopted into the mainstream of painting it becomes less common and useful as a term to define artistic style.", "As the engine cools when shut off, the contracting coolant in the radiator sucks back coolant from the recovery tank. Fluid in the recovery tank should never be below the full hot or full cold marks, lest air be sucked in. -- BETTER ANSWER ==. Your cooling fans are not turning on.It is not normal for your overflow tank to boil like that. It is true that your radiator is overflowing into the reserve tank, but that means yourr adiaotor is boiling. Check for blown fuses or relays for your cooling fans.IF theya re fine. run your engine for about 15 minutes and drive.s the engine cools when shut off, the contracting coolant in the radiator sucks back coolant from the recovery tank. Fluid in the recovery tank should never be below the full hot or full cold marks, lest air be sucked in. -- BETTER ANSWER ==. Your cooling fans are not turning on." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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