Sentence Similarity
Safetensors
sentence-transformers
colbert-ai
xmod
colbert
multi-vector
passage-retrieval
Eval Results (legacy)
Instructions to use antoinelouis/colbert-xm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use antoinelouis/colbert-xm with sentence-transformers:
from sentence_transformers import MultiVectorEncoder model = MultiVectorEncoder("antoinelouis/colbert-xm") queries = ["Which planet is known as the Red Planet?"] documents = [ "Venus is often called Earth's twin because of its similar size and proximity.", "Mars, known for its reddish appearance, is often referred to as the Red Planet.", "Jupiter, the largest planet in our solar system, has a prominent red spot.", ] query_embeddings = model.encode_query(queries) document_embeddings = model.encode_document(documents) similarities = model.similarity(query_embeddings, document_embeddings) print(similarities) - Notebooks
- Google Colab
- Kaggle
ValueError: The state dictionary of the model you are trying to load is corrupted. Are you sure it was properly saved?
#3 opened about 2 years ago
by
secain
ONNX support
👍 1
#2 opened over 2 years ago
by
libryo-ai