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
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by tomaarsen HF Staff - opened
README.md
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```python
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from colbert.modeling.checkpoint import Checkpoint
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ckpt = Checkpoint(answerdotai/answerai-colbert-small-v1", colbert_config=ColBERTConfig())
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embedded_query = ckpt.queryFromText(["Who dubs Howl's in English?"], bsize=16)
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```
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```python
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from colbert.modeling.checkpoint import Checkpoint
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ckpt = Checkpoint("answerdotai/answerai-colbert-small-v1", colbert_config=ColBERTConfig())
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embedded_query = ckpt.queryFromText(["Who dubs Howl's in English?"], bsize=16)
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```
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