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: 770 Bytes
342595c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | export default function TypingIndicator() {
return (
<div className="flex gap-3 max-w-[90%] md:max-w-[85%] self-start">
<div className="w-8 h-8 rounded-full bg-secondary-container flex items-center justify-center shrink-0 mt-1">
<span className="material-symbols-outlined text-primary text-sm">
eco
</span>
</div>
<div className="bg-surface-container-lowest text-primary px-4 py-3 rounded-2xl rounded-tl-sm border border-secondary/20 custom-shadow-level-1 flex items-center gap-1">
<span className="w-2 h-2 rounded-full bg-secondary dot-1" />
<span className="w-2 h-2 rounded-full bg-secondary dot-2" />
<span className="w-2 h-2 rounded-full bg-secondary dot-3" />
</div>
</div>
);
}
|