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: 569 Bytes
5f9852a | 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 | 'use strict'
let Container = require('./container')
let list = require('./list')
class Rule extends Container {
get selectors() {
return list.comma(this.selector)
}
set selectors(values) {
let match = this.selector ? this.selector.match(/,\s*/) : null
let sep = match ? match[0] : ',' + this.raw('between', 'beforeOpen')
this.selector = values.join(sep)
}
constructor(defaults) {
super(defaults)
this.type = 'rule'
if (!this.nodes) this.nodes = []
}
}
module.exports = Rule
Rule.default = Rule
Container.registerRule(Rule)
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