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
Download chroma_db/chroma.sqlite3 from thilakx/Bankoflibreo: direct link, hf CLI and curl.
- Browser
- Download file 586 kB
-
https://huggingface.co/thilakx/Bankoflibreo/resolve/main/chroma_db/chroma.sqlite3
- Command line
-
hf download hf://thilakx/Bankoflibreo/chroma_db/chroma.sqlite3
-
curl -L -o chroma.sqlite3 https://huggingface.co/thilakx/Bankoflibreo/resolve/main/chroma_db/chroma.sqlite3
586 kB
- Xet hash:
- 468e9597b044c3b295ced967e59b4b601034496a5804f05e451c66988bb7cf66
- Size of remote file:
- 586 kB
- SHA256:
- 6c19472177b12e98c37f7fb81da7d8f1859a7d6fe509ea9733d3381bd36569e9
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