Instructions to use raphaelsty/neural-cherche-sparse-embed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raphaelsty/neural-cherche-sparse-embed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="raphaelsty/neural-cherche-sparse-embed")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("raphaelsty/neural-cherche-sparse-embed") model = AutoModelForMaskedLM.from_pretrained("raphaelsty/neural-cherche-sparse-embed") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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queries_embeddings=queries_embeddings,
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batch_size=batch_size,
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k=100,
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k_ranker=10,
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scores
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queries_embeddings=queries_embeddings,
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batch_size=batch_size,
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k=100,
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scores
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