Sentence Similarity
Safetensors
sentence-transformers
PyLate
bert
ColBERT
feature-extraction
Generated from Trainer
dataset_size:9998000
loss:XTRPrimeQA
Eval Results (legacy)
text-embeddings-inference
Instructions to use robro612/bge_small_xtr_contrastive_k128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use robro612/bge_small_xtr_contrastive_k128 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="robro612/bge_small_xtr_contrastive_k128") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 142e1625d64a63acc81dbce82d71d1632f48d432b8c08aff3c8e3de046c35e58
- Size of remote file:
- 197 kB
- SHA256:
- 8373ead0e4ef777d05da2e633dcd73f3a10ab574a53408db34907e8b6ca9bdc2
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