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: 527 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 | /*
MIT License http://www.opensource.org/licenses/mit-license.php
Author Tobias Koppers @sokra
*/
"use strict";
module.exports = {
/**
* @type {Record<string, string>}
*/
versions: {},
// eslint-disable-next-line jsdoc/reject-function-type
/** @param {Function} fn function */
nextTick(fn) {
// eslint-disable-next-line prefer-rest-params
const args = Array.prototype.slice.call(arguments, 1);
Promise.resolve().then(() => {
// eslint-disable-next-line prefer-spread
fn.apply(null, args);
});
},
};
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