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
Ollama compatability
#13
by twine-network - opened
Is it possible to make a GGUF version of this model to use with Ollama? I haven't been able to find a tool or workflow for this. Wondering if it is even possible.
Not sure if ollama supports colbert-style models?
Ollama docs:
Coming soon
More features are coming to support workflows that involve embeddings:
Batch embeddings: processing multiple input data prompts simultaneously
OpenAI API Compatibility: support for the /v1/embeddings OpenAI-compatible endpoint
More embedding model architectures: support for ColBERT, RoBERTa, and other embedding model architectures
Oh nice. I had just come across your infinity project a few days ago and had it sitting in an open tab to look at when I got a minute. That just got bumped up the todo list. Thanks