Sentence Similarity
Safetensors
sentence-transformers
PyLate
lfm2
liquid
lfm2.5
edge
ColBERT
feature-extraction
custom_code
Instructions to use LiquidAI/LFM2.5-ColBERT-350M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use LiquidAI/LFM2.5-ColBERT-350M 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="LiquidAI/LFM2.5-ColBERT-350M") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
Russian language support?
#2
by Tikhonum - opened
Hello, the model looks good. It is worth it to use in Russian ?
Hey @Tikhonum , we didn't train on Russian query/document pairs, but the backbone has seen Russian data during pretraining and we have observe the model to generalize pretty well.
Try it out anyway, if it underperforms, it's very quick to finetune with Pylate on a russian dataset!