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: 549 Bytes
bcfd9c8 | 1 2 3 | import { _ as queries, a as and, c as exprInterpreter, d as include, f as interpreter, g as or, h as not, i as filterVitePlugins, l as id, m as moduleType, n as makeIdFiltersToMatchWithQuery, o as code, p as interpreterImpl, r as prefixRegex, s as exclude, t as exactRegex, u as importerId, v as query } from "./filter-B_mD-HGz.mjs";
export { and, code, exactRegex, exclude, exprInterpreter, filterVitePlugins, id, importerId, include, interpreter, interpreterImpl, makeIdFiltersToMatchWithQuery, moduleType, not, or, prefixRegex, queries, query };
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