Sentence Similarity
Safetensors
sentence-transformers
English
PyLate
modernbert
ColBERT
feature-extraction
Generated from Trainer
dataset_size:1250000
loss:CachedContrastive
Eval Results (legacy)
text-embeddings-inference
Instructions to use PrasannSinghal/ModernBERT-base-pylate-pairwise-8e-05-qv1-dv1-embsize128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use PrasannSinghal/ModernBERT-base-pylate-pairwise-8e-05-qv1-dv1-embsize128 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="PrasannSinghal/ModernBERT-base-pylate-pairwise-8e-05-qv1-dv1-embsize128") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f55884740673c1ee4bcb2f078a138a8c8bdb0d32c245f9c9d95dbd7fe261539
- Size of remote file:
- 298 MB
- SHA256:
- 30077fb977b5cb3f828e4642606a3b7a1a791f33dfe667a77880223140fb83cd
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