Feature Extraction
sentence-transformers
Safetensors
English
sparse-encoder
splade
sparse-retrieval
opensearch
elasticsearch
financial-filings
Instructions to use oneryalcin/financial-filings-sparse-encoder-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use oneryalcin/financial-filings-sparse-encoder-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("oneryalcin/financial-filings-sparse-encoder-v1") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
File size: 102 Bytes
bf3d3f8 | 1 2 3 4 5 | {
"pooling_strategy": "max",
"activation_function": "relu",
"embedding_dimension": 30522
} |