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: 931 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 | # tinyglobby
[](https://npmjs.com/package/tinyglobby)
[](https://npmjs.com/package/tinyglobby)
A fast and minimal alternative to globby and fast-glob, meant to behave the same way.
Both globby and fast-glob present some behavior no other globbing lib has,
which makes it hard to manually replace with something smaller and better.
This library uses only two subdependencies, compared to `globby`'s [23](https://npmgraph.js.org/?q=globby@16.2.0)
and `fast-glob`'s [17](https://npmgraph.js.org/?q=fast-glob@3.3.3).
## Usage
```js
import { glob, globSync } from 'tinyglobby';
await glob(['files/*.ts', '!**/*.d.ts'], { cwd: 'src' });
globSync('src/**/*.ts', { ignore: '**/*.d.ts' });
```
## Documentation
Visit https://superchupu.dev/tinyglobby to read the full documentation.
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