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: 495 Bytes
5f9852a | 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 | 'use strict'
let Node = require('./node')
class Declaration extends Node {
get variable() {
return this.prop.startsWith('--') || this.prop[0] === '$'
}
constructor(defaults) {
if (
defaults &&
typeof defaults.value !== 'undefined' &&
typeof defaults.value !== 'string'
) {
defaults = { ...defaults, value: String(defaults.value) }
}
super(defaults)
this.type = 'decl'
}
}
module.exports = Declaration
Declaration.default = Declaration
|