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
Ctrl+K
This model has 1 file scanned as unsafe.
- 3.36 kB
- 471 Bytes
- 1.68 kB
- 203 Bytes
- 14 kB
- 12.4 kB
- 6.45 kB
- 3.4 kB
- 3.83 kB
- 495 Bytes
- 1.88 kB
- 654 Bytes
- 160 Bytes
- 2.81 kB
- 5.13 kB
- 7.27 kB
- 4.94 kB
- 16.3 kB
- 1.42 kB
- 1.27 kB
- 10 kB
- 1.5 kB
- 2.62 kB
- 14.7 kB
- 12.6 kB
- 133 Bytes
- 1.15 kB
- 15.2 kB
- 1.05 kB
- 11.7 kB
- 2.9 kB
- 980 Bytes
- 1.76 kB
- 5.13 kB
- 3.35 kB
- 1.74 kB
- 4.35 kB
- 738 Bytes
- 2.25 kB
- 1.61 kB
- 2.88 kB
- 569 Bytes
- 1.36 kB
- 11.8 kB
- 163 Bytes
- 213 Bytes
- 91 Bytes
- 1.4 kB
- 6.7 kB
- 256 Bytes