Sentence Similarity
Safetensors
sentence-transformers
PyLate
modernbert
ColBERT
feature-extraction
Generated from Trainer
dataset_size:980250
loss:CachedContrastive
text-embeddings-inference
Instructions to use qcz/gte-modernbert-base-InstructColBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use qcz/gte-modernbert-base-InstructColBERT 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="qcz/gte-modernbert-base-InstructColBERT") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from qcz/gte-modernbert-base-InstructColBERT: direct link, hf CLI and curl.
- Browser
- Download file 596 MB
-
https://huggingface.co/qcz/gte-modernbert-base-InstructColBERT/resolve/main/model.safetensors
- Command line
-
hf download hf://qcz/gte-modernbert-base-InstructColBERT/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/qcz/gte-modernbert-base-InstructColBERT/resolve/main/model.safetensors
596 MB
- Xet hash:
- b3b4776c79ad08278ab5208ca80dee06ff6bd4263ae2c34c1004ea60a8ab4f5a
- Size of remote file:
- 596 MB
- SHA256:
- 641381e49d48b483e0bfceaab31dad906af9bdf950dce8a1edf5d68ebcf0baa0
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