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: 1,192 Bytes
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"name": "clsx",
"version": "2.1.1",
"repository": "lukeed/clsx",
"description": "A tiny (239B) utility for constructing className strings conditionally.",
"module": "dist/clsx.mjs",
"unpkg": "dist/clsx.min.js",
"main": "dist/clsx.js",
"types": "clsx.d.ts",
"license": "MIT",
"exports": {
".": {
"import": {
"types": "./clsx.d.mts",
"default": "./dist/clsx.mjs"
},
"default": {
"types": "./clsx.d.ts",
"default": "./dist/clsx.js"
}
},
"./lite": {
"import": {
"types": "./clsx.d.mts",
"default": "./dist/lite.mjs"
},
"default": {
"types": "./clsx.d.ts",
"default": "./dist/lite.js"
}
}
},
"author": {
"name": "Luke Edwards",
"email": "luke.edwards05@gmail.com",
"url": "https://lukeed.com"
},
"engines": {
"node": ">=6"
},
"scripts": {
"build": "node bin",
"test": "uvu -r esm test"
},
"files": [
"*.d.mts",
"*.d.ts",
"dist"
],
"keywords": [
"classes",
"classname",
"classnames"
],
"devDependencies": {
"esm": "3.2.25",
"terser": "4.8.0",
"uvu": "0.5.4"
}
}
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