Sentence Similarity
Safetensors
sentence-transformers
English
PyLate
modernbert
ColBERT
feature-extraction
Generated from Trainer
dataset_size:640000
loss:Distillation
Eval Results (legacy)
text-embeddings-inference
Instructions to use xtr-replicability/modernbert_colbert_kd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use xtr-replicability/modernbert_colbert_kd 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="xtr-replicability/modernbert_colbert_kd") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c68b306e7b729c2ac66677dec5f8a574d5c9406ec8ba54630687aa17a346c711
- Size of remote file:
- 596 MB
- SHA256:
- c59417300770121953b1b114e5ef82428ea1af9b8507b969efce3674966913fb
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