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: 879 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 | /*
MIT License http://www.opensource.org/licenses/mit-license.php
Author Tobias Koppers @sokra
*/
"use strict";
const Hook = require("./Hook");
const HookCodeFactory = require("./HookCodeFactory");
class AsyncSeriesLoopHookCodeFactory extends HookCodeFactory {
content({ onError, onDone }) {
return this.callTapsLooping({
onError: (i, err, next, doneBreak) => onError(err) + doneBreak(true),
onDone
});
}
}
const factory = new AsyncSeriesLoopHookCodeFactory();
function COMPILE(options) {
factory.setup(this, options);
return factory.create(options);
}
function AsyncSeriesLoopHook(args = [], name = undefined) {
const hook = new Hook(args, name);
hook.constructor = AsyncSeriesLoopHook;
hook.compile = COMPILE;
hook._call = undefined;
hook.call = undefined;
return hook;
}
AsyncSeriesLoopHook.prototype = null;
module.exports = AsyncSeriesLoopHook;
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