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: 803 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 | /*
MIT License http://www.opensource.org/licenses/mit-license.php
Author Tobias Koppers @sokra
*/
"use strict";
/** @typedef {import("./Resolver")} Resolver */
/** @typedef {import("./Resolver").ResolveStepHook} ResolveStepHook */
module.exports = class NextPlugin {
/**
* @param {string | ResolveStepHook} source source
* @param {string | ResolveStepHook} target target
*/
constructor(source, target) {
this.source = source;
this.target = target;
}
/**
* @param {Resolver} resolver the resolver
* @returns {void}
*/
apply(resolver) {
const target = resolver.ensureHook(this.target);
resolver
.getHook(this.source)
.tapAsync("NextPlugin", (request, resolveContext, callback) => {
resolver.doResolve(target, request, null, resolveContext, callback);
});
}
};
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