Instructions to use ab8u/bge-m3-finbot-retrieval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ab8u/bge-m3-finbot-retrieval with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ab8u/bge-m3-finbot-retrieval") 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
bge-m3-finbot-retrieval
BAAI/bge-m3 fine-tuned for FinBot's retrieval of Income Tax Ordinance, 2001 provisions
(UC-12) on hand-written English / Urdu / Roman-Urdu questions. No user data was used.
Held-out recall@5 (pretrained -> fine-tuned): English 1.0 -> 1.0, Urdu 1.0 -> 1.0, Roman Urdu 0.708 -> 0.833.
- Downloads last month
- 26
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for ab8u/bge-m3-finbot-retrieval
Base model
BAAI/bge-m3