Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:724
loss:CoSENTLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use ManishThota/QueryRouter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ManishThota/QueryRouter with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ManishThota/QueryRouter") sentences = [ "Financials", "What is the financial performance of ABC?", "What companies operate in the same space as ABC?", "What standards are used to evaluate the industry?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68a5ecd4176d4a04ef43b2d41ed64e9d1e7f859247d351f456558b7f1382e508
- Size of remote file:
- 90.9 MB
- SHA256:
- 1377e9af0ca0b016a9f2aa584d6fc71ab3ea6804fae21ef9fb1416e2944057ac
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