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: 1,063 Bytes
342595c | 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 52 53 54 55 56 57 58 | /*
MIT License http://www.opensource.org/licenses/mit-license.php
Author Tobias Koppers @sokra
*/
"use strict";
class MultiHook {
constructor(hooks, name = undefined) {
this.hooks = hooks;
this.name = name;
}
tap(options, fn) {
const { hooks } = this;
for (let i = 0; i < hooks.length; i++) {
hooks[i].tap(options, fn);
}
}
tapAsync(options, fn) {
const { hooks } = this;
for (let i = 0; i < hooks.length; i++) {
hooks[i].tapAsync(options, fn);
}
}
tapPromise(options, fn) {
const { hooks } = this;
for (let i = 0; i < hooks.length; i++) {
hooks[i].tapPromise(options, fn);
}
}
isUsed() {
const { hooks } = this;
for (let i = 0; i < hooks.length; i++) {
if (hooks[i].isUsed()) return true;
}
return false;
}
intercept(interceptor) {
const { hooks } = this;
for (let i = 0; i < hooks.length; i++) {
hooks[i].intercept(interceptor);
}
}
withOptions(options) {
return new MultiHook(
this.hooks.map((hook) => hook.withOptions(options)),
this.name
);
}
}
module.exports = MultiHook;
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