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: 654 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 29 30 31 32 33 34 | 'use strict'
let Container = require('./container')
let LazyResult, Processor
class Document extends Container {
constructor(defaults) {
// type needs to be passed to super, otherwise child roots won't be normalized correctly
super({ type: 'document', ...defaults })
if (!this.nodes) {
this.nodes = []
}
}
toResult(opts = {}) {
let lazy = new LazyResult(new Processor(), this, opts)
return lazy.stringify()
}
}
Document.registerLazyResult = dependant => {
LazyResult = dependant
}
Document.registerProcessor = dependant => {
Processor = dependant
}
module.exports = Document
Document.default = Document
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