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: 738 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 35 36 37 38 39 40 41 42 43 | 'use strict'
let Warning = require('./warning')
class Result {
get content() {
return this.css
}
constructor(processor, root, opts) {
this.processor = processor
this.messages = []
this.root = root
this.opts = opts
this.css = ''
this.map = undefined
}
toString() {
return this.css
}
warn(text, opts = {}) {
if (!opts.plugin) {
if (this.lastPlugin && this.lastPlugin.postcssPlugin) {
opts.plugin = this.lastPlugin.postcssPlugin
}
}
let warning = new Warning(text, opts)
this.messages.push(warning)
return warning
}
warnings() {
return this.messages.filter(i => i.type === 'warning')
}
}
module.exports = Result
Result.default = Result
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