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: 552 Bytes
5f9852a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"name": "picocolors",
"version": "1.1.1",
"main": "./picocolors.js",
"types": "./picocolors.d.ts",
"browser": {
"./picocolors.js": "./picocolors.browser.js"
},
"sideEffects": false,
"description": "The tiniest and the fastest library for terminal output formatting with ANSI colors",
"files": [
"picocolors.*",
"types.d.ts"
],
"keywords": [
"terminal",
"colors",
"formatting",
"cli",
"console"
],
"author": "Alexey Raspopov",
"repository": "alexeyraspopov/picocolors",
"license": "ISC"
}
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