Instructions to use Qdrant/bm25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qdrant/bm25 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Qdrant/bm25", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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model = SparseTextEmbedding(model_name="Qdrant/bm25")
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embeddings = list(
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# [
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# SparseEmbedding(
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]
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model = SparseTextEmbedding(model_name="Qdrant/bm25")
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embeddings = list(model.embed(documents))
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# [
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# SparseEmbedding(
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