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
| { | |
| "__version__": { | |
| "sentence_transformers": "3.0.1", | |
| "transformers": "4.41.2", | |
| "pytorch": "2.0.1+cu118" | |
| }, | |
| "prompts": {}, | |
| "default_prompt_name": null, | |
| "similarity_fn_name": null | |
| } |