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
Download frontend/node_modules/tailwind-merge/src/lib/utils.ts from thilakx/Bankoflibreo: direct link, hf CLI and curl.
- Browser
- Download file 537 Bytes
-
https://huggingface.co/thilakx/Bankoflibreo/resolve/main/frontend/node_modules/tailwind-merge/src/lib/utils.ts
- Command line
-
hf download hf://thilakx/Bankoflibreo/frontend/node_modules/tailwind-merge/src/lib/utils.ts
-
curl -L -o utils.ts https://huggingface.co/thilakx/Bankoflibreo/resolve/main/frontend/node_modules/tailwind-merge/src/lib/utils.ts
537 Bytes
| /** | |
| * Concatenates two arrays faster than the array spread operator. | |
| */ | |
| export const concatArrays = <T, U>( | |
| array1: readonly T[], | |
| array2: readonly U[], | |
| ): readonly (T | U)[] => { | |
| // Pre-allocate for better V8 optimization | |
| const combinedArray: (T | U)[] = new Array(array1.length + array2.length) | |
| for (let i = 0; i < array1.length; i++) { | |
| combinedArray[i] = array1[i]! | |
| } | |
| for (let i = 0; i < array2.length; i++) { | |
| combinedArray[array1.length + i] = array2[i]! | |
| } | |
| return combinedArray | |
| } | |