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: 486 Bytes
342595c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | import { escapeHtml } from "../utils";
export default function UserMessage({ text }) {
return (
<div className="flex w-full justify-end message-entrance">
<div className="backdrop-blur-md border border-outline-variant p-4 md:p-5 max-w-[90%] md:max-w-[85%] rounded-sm bg-surface-variant font-['Source_Serif_4'] shadow-xs">
<p className="text-on-surface text-sm md:text-base leading-relaxed">
{escapeHtml(text)}
</p>
</div>
</div>
);
}
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