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: 561 Bytes
342595c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | 'use strict';
var b;
var l;
if (process.env.NODE_ENV === 'production') {
b = require('./cjs/react-dom-server.edge.production.js');
l = require('./cjs/react-dom-server-legacy.browser.production.js');
} else {
b = require('./cjs/react-dom-server.edge.development.js');
l = require('./cjs/react-dom-server-legacy.browser.development.js');
}
exports.version = b.version;
exports.renderToReadableStream = b.renderToReadableStream;
exports.renderToString = l.renderToString;
exports.renderToStaticMarkup = l.renderToStaticMarkup;
exports.resume = b.resume;
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