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/lightningcss/node/index.mjs from thilakx/Bankoflibreo: direct link, hf CLI and curl.
- Browser
- Download file 276 Bytes
-
https://huggingface.co/thilakx/Bankoflibreo/resolve/main/frontend/node_modules/lightningcss/node/index.mjs
- Command line
-
hf download hf://thilakx/Bankoflibreo/frontend/node_modules/lightningcss/node/index.mjs
-
curl -L -o index.mjs https://huggingface.co/thilakx/Bankoflibreo/resolve/main/frontend/node_modules/lightningcss/node/index.mjs
276 Bytes
| import index from './index.js'; | |
| const { transform, transformStyleAttribute, bundle, bundleAsync, browserslistToTargets, composeVisitors, Features } = index; | |
| export { transform, transformStyleAttribute, bundle, bundleAsync, browserslistToTargets, composeVisitors, Features }; | |