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/@tailwindcss/node/dist/esm-cache.loader.d.mts from thilakx/Bankoflibreo: direct link, hf CLI and curl.
- Browser
- Download file 171 Bytes
-
https://huggingface.co/thilakx/Bankoflibreo/resolve/main/frontend/node_modules/%40tailwindcss/node/dist/esm-cache.loader.d.mts
- Command line
-
hf download hf://thilakx/Bankoflibreo/frontend/node_modules/@tailwindcss/node/dist/esm-cache.loader.d.mts
-
curl -L -o esm-cache.loader.d.mts https://huggingface.co/thilakx/Bankoflibreo/resolve/main/frontend/node_modules/%40tailwindcss/node/dist/esm-cache.loader.d.mts
171 Bytes
| import { ResolveHook, ResolveHookSync } from 'node:module'; | |
| declare let resolve: ResolveHook; | |
| declare let resolveSync: ResolveHookSync; | |
| export { resolve, resolveSync }; | |