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Naver

Rank:

Average Model Cost: $0.0000

Number of Runs: 516,203

Models by this creator

🚀

splade-cocondenser-ensembledistil

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

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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29.6K

Huggingface

🛸

efficient-splade-V-large-query

The efficient-splade-V-large-query model is a language model that has been trained to perform the fill-mask task. Given an input sentence with a masked word, the model predicts the most likely word that fills the mask. It is designed to provide accurate and efficient predictions for large queries.

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7.3K

Huggingface

🌿

splade-cocondenser-selfdistil

splade-cocondenser-selfdistil is a model that is fine-tuned for the fill-mask task. Given a sentence with a masked word, the model predicts the most likely word to fill the mask. However, no further information is provided about the model.

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7.1K

Huggingface

📊

splade_v2_distil

splade_v2_distil is a masked language model trained on large amounts of text data. It is trained to predict missing words in a sentence based on the context provided. The model is designed to understand and generate coherent and contextually appropriate sentences.

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5.7K

Huggingface

🔗

splade_v2_max

No description available.

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$-/run

5.0K

Huggingface

🎲

trecdl22-crossencoder-electra

Platform did not provide a description for this model.

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$-/run

152

Huggingface

🤿

efficient-splade-VI-BT-large-query

Platform did not provide a description for this model.

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$-/run

32

Huggingface

🤷

ecir23-scratch-tydi-arabic-splade

Platform did not provide a description for this model.

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$-/run

29

Huggingface

🏷️

trecdl22-crossencoder-roberta

Platform did not provide a description for this model.

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$-/run

28

Huggingface

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