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
File size: 201 Bytes
5245a0b | 1 2 3 4 5 6 7 8 9 10 | {
"__version__": {
"sentence_transformers": "3.0.1",
"transformers": "4.41.2",
"pytorch": "2.0.1+cu118"
},
"prompts": {},
"default_prompt_name": null,
"similarity_fn_name": null
} |