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 SentenceTransformer model = SentenceTransformer("antoinelouis/colbert-xm") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - 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