Sentence Similarity
Safetensors
sentence-transformers
English
PyLate
bert
ColBERT
feature-extraction
Generated from Trainer
dataset_size:983844
loss:Contrastive
Eval Results (legacy)
text-embeddings-inference
Instructions to use rasyosef/ColBERT-Mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use rasyosef/ColBERT-Mini 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="rasyosef/ColBERT-Mini") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from rasyosef/ColBERT-Mini: direct link, hf CLI and curl.
- Browser
- Download file 44.7 MB
-
https://huggingface.co/rasyosef/ColBERT-Mini/resolve/main/model.safetensors
- Command line
-
hf download hf://rasyosef/ColBERT-Mini/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/rasyosef/ColBERT-Mini/resolve/main/model.safetensors
44.7 MB
- Xet hash:
- b6d55bb8a2208b7985bc3274cee2f32face6ac451a471d961b22d579d69a8bff
- Size of remote file:
- 44.7 MB
- SHA256:
- ab2b7a32e44dddb471cca2f7d48ef9687721a7cc92762ea278611d229b06a2e2
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