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: 564 Bytes
342595c | 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 27 | {
"name": "scheduler",
"version": "0.27.0",
"description": "Cooperative scheduler for the browser environment.",
"repository": {
"type": "git",
"url": "https://github.com/facebook/react.git",
"directory": "packages/scheduler"
},
"license": "MIT",
"keywords": [
"react"
],
"bugs": {
"url": "https://github.com/facebook/react/issues"
},
"homepage": "https://react.dev/",
"files": [
"LICENSE",
"README.md",
"index.js",
"index.native.js",
"unstable_mock.js",
"unstable_post_task.js",
"cjs/"
]
} |