Sentence Similarity
Safetensors
sentence-transformers
PyLate
ColBERT
feature-extraction
Generated from Trainer
dataset_size:599884
loss:KDLossWrapper
Instructions to use sidataplus/THIRAWAT-BioLORD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sidataplus/THIRAWAT-BioLORD with sentence-transformers:
from pylate import models queries = [ "Which planet is known as the Red Planet?", "What is the largest planet in our solar system?", ] documents = [ ["Mars is the Red Planet.", "Venus is Earth's twin."], ["Jupiter is the largest planet.", "Saturn has rings."], ] model = models.ColBERT(model_name_or_path="sidataplus/THIRAWAT-BioLORD") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f36eec9235ad87989b2f25b4b63d0c969f0400b77e774914ba6b7c06791fd958
- Size of remote file:
- 6.29 kB
- SHA256:
- 8788145ec3a59d6a0944985a03d9f745a110bfeb5fc723bc3e76e8a6e15e2a83
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