Naver

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Average Model Cost: $0.0000

Number of Runs: 516,203

Models by this creator

splade-cocondenser-ensembledistil

splade-cocondenser-ensembledistil

naver

The SPLADE CoCondenser EnsembleDistil model is a model for passage retrieval. It is used to find relevant passages or documents given a search query. It is trained using the SPLADE framework and combines multiple models to improve performance. More details about the model can be found in the provided paper and code. If the model is used, the creators request that their work be cited.

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$-/run

461.3K

Huggingface

efficient-splade-V-large-doc

efficient-splade-V-large-doc

The efficient-splade-V-large-doc model is a language model trained on large amounts of data. It is designed to efficiently process and generate text for tasks such as natural language understanding, text generation, and document processing. The model has been optimized for fast inference and can be used to fill in missing words or predict the most likely word given a context (fill-mask task). It is well-suited for large document processing and can handle complex language tasks with high efficiency.

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$-/run

29.6K

Huggingface

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