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: 445 Bytes
342595c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | 'use strict';
var s;
if (process.env.NODE_ENV === 'production') {
s = require('./cjs/react-dom-server.node.production.js');
} else {
s = require('./cjs/react-dom-server.node.development.js');
}
exports.version = s.version;
exports.prerenderToNodeStream = s.prerenderToNodeStream;
exports.prerender = s.prerender;
exports.resumeAndPrerenderToNodeStream = s.resumeAndPrerenderToNodeStream;
exports.resumeAndPrerender = s.resumeAndPrerender;
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