Text Generation
sentence-transformers
English
rag
retrieval-augmented-generation
fastapi
react
chromadb
banking
document-intelligence
vector-search
Instructions to use thilakx/Bankoflibreo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use thilakx/Bankoflibreo with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("thilakx/Bankoflibreo") 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: 666 Bytes
acee10a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | // This file is autogenerated by build-prefixes.js. DO NOT EDIT!
exports.Features = {
Nesting: 1,
NotSelectorList: 2,
DirSelector: 4,
LangSelectorList: 8,
IsSelector: 16,
TextDecorationThicknessPercent: 32,
MediaIntervalSyntax: 64,
MediaRangeSyntax: 128,
CustomMediaQueries: 256,
ClampFunction: 512,
ColorFunction: 1024,
OklabColors: 2048,
LabColors: 4096,
P3Colors: 8192,
HexAlphaColors: 16384,
SpaceSeparatedColorNotation: 32768,
FontFamilySystemUi: 65536,
DoublePositionGradients: 131072,
VendorPrefixes: 262144,
LogicalProperties: 524288,
LightDark: 1048576,
Selectors: 31,
MediaQueries: 448,
Colors: 1113088,
};
|