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/require-cache.js from thilakx/Bankoflibreo: direct link, hf CLI and curl.
- Browser
- Download file 579 Bytes
-
https://huggingface.co/thilakx/Bankoflibreo/resolve/main/frontend/node_modules/%40tailwindcss/node/dist/require-cache.js
- Command line
-
hf download hf://thilakx/Bankoflibreo/frontend/node_modules/@tailwindcss/node/dist/require-cache.js
-
curl -L -o require-cache.js https://huggingface.co/thilakx/Bankoflibreo/resolve/main/frontend/node_modules/%40tailwindcss/node/dist/require-cache.js
579 Bytes
| ;var i=Object.defineProperty;var a=Object.getOwnPropertyDescriptor;var f=Object.getOwnPropertyNames;var l=Object.prototype.hasOwnProperty;var n=(r,e)=>{for(var t in e)i(r,t,{get:e[t],enumerable:!0})},u=(r,e,t,o)=>{if(e&&typeof e=="object"||typeof e=="function")for(let c of f(e))!l.call(r,c)&&c!==t&&i(r,c,{get:()=>e[c],enumerable:!(o=a(e,c))||o.enumerable});return r};var h=r=>u(i({},"__esModule",{value:!0}),r);var d={};n(d,{clearRequireCache:()=>q});module.exports=h(d);function q(r){for(let e of r)delete require.cache[e]}0&&(module.exports={clearRequireCache}); | |