Sentence Similarity
ONNX
Safetensors
sentence-transformers
PyLate
modernbert
ColBERT
multi-vector
feature-extraction
Generated from Trainer
dataset_size:640000
loss:Distillation
Eval Results (legacy)
text-embeddings-inference
Instructions to use lightonai/GTE-ModernColBERT-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lightonai/GTE-ModernColBERT-v1 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="lightonai/GTE-ModernColBERT-v1") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Inference
- Notebooks
- Google Colab
- Kaggle
Upload model_int8.onnx with huggingface_hub
Browse files- model_int8.onnx +3 -0
model_int8.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:10d8a15b8a2d65ddc0116b539df01767819c458ec65d4e50ee28a4a982fc49a4
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size 150008169
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