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: 1,132 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 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | /*
MIT License http://www.opensource.org/licenses/mit-license.php
Author Tobias Koppers @sokra
*/
"use strict";
/** @typedef {import("./Resolver").ResolveRequest} ResolveRequest */
/**
* @template T
* @template Z
* @callback Iterator
* @param {T} item item
* @param {(err?: null | Error, result?: null | Z) => void} callback callback
* @param {number} i index
* @returns {void}
*/
/**
* @template T
* @template Z
* @param {T[]} array array
* @param {Iterator<T, Z>} iterator iterator
* @param {(err?: null | Error, result?: null | Z, i?: number) => void} callback callback after all items are iterated
* @returns {void}
*/
module.exports = function forEachBail(array, iterator, callback) {
if (array.length === 0) return callback();
let i = 0;
const next = () => {
/** @type {boolean | undefined} */
let loop;
iterator(
array[i++],
(err, result) => {
if (err || result !== undefined || i >= array.length) {
return callback(err, result, i);
}
if (loop === false) while (next());
loop = true;
},
i,
);
if (!loop) loop = false;
return loop;
};
while (next());
};
|