Sentence Similarity
Safetensors
sentence-transformers
English
PyLate
eurobert
ColBERT
feature-extraction
Generated from Trainer
dataset_size:99515
loss:Contrastive
custom_code
Eval Results (legacy)
Instructions to use fjmgAI/reason-rerank-colBERT-210M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use fjmgAI/reason-rerank-colBERT-210M 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="fjmgAI/reason-rerank-colBERT-210M") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 621e63372b0b31fbd63a09799162239704b35fe7bca2266c4c048a4fba3a0ad8
- Size of remote file:
- 17.2 MB
- SHA256:
- b25c6126d8e017be90684ea0b4b78cf0140aea86eee3c4f02262b4d2416eceaa
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