sentence-transformers
ONNX
Safetensors
English
bert
ColBERT
multi-vector
RAGatouille
passage-retrieval
Instructions to use answerdotai/answerai-colbert-small-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use answerdotai/answerai-colbert-small-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("answerdotai/answerai-colbert-small-v1") 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
Sentence Transformer compatibility
1
#15 opened over 1 year ago
by
chungimungi
infinity_compatability
1
#14 opened almost 2 years ago
by
michaelfeil
Ollama compatability
3
#13 opened almost 2 years ago
by
twine-network
Fine-tuning example
3
#9 opened almost 2 years ago
by
gabrielchua
Onnx models lack linear layer
1
#6 opened almost 2 years ago
by
jmzzomg
A couple Qs for the model
#2 opened about 2 years ago
by
abhiaagarwal