Get a weekly rundown of the latest AI models and research... subscribe! https://aimodels.substack.com/

Splade Cocondenser Ensembledistil

naver

๐Ÿš€

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.

Use cases

The SPLADE CoCondenser EnsembleDistil model has various potential use cases in the realm of passage retrieval. One possible use case is in information retrieval systems, where the model can be utilized to quickly and accurately find relevant passages or documents given a search query. This can enhance the efficiency and effectiveness of search engines, allowing users to retrieve the most relevant and useful information more easily. Another use case could be in natural language understanding tasks, where the model can be employed to extract specific information from large volumes of text. This can be useful in applications such as question answering systems or text summarization. In addition to these use cases, the SPLADE CoCondenser EnsembleDistil model can also be used as a building block for the development of more advanced AI products and services. For example, it can be incorporated into chatbots or virtual assistants to enhance their ability to understand and respond to user queries. It can also be utilized in recommendation systems to provide more personalized and relevant recommendations to users based on their preferences and interests. Overall, the SPLADE CoCondenser EnsembleDistil model has the potential to significantly improve the performance and capabilities of various AI applications, making them more accurate, efficient, and user-friendly.

fill-mask

Pricing

Cost per run
$-
USD
Avg run time
-
Seconds
Hardware
-
Prediction

Creator Models

ModelCostRuns
Neuclir22 Splade Ru$?16
Trecdl22 Crossencoder Albert$?24
Neuclir22 Splade Zh$?16
Neuclir22 Pretrained Zh$?9
Trecdl22 Crossencoder Electra$?152

Similar Models

Try it!

You can use this area to play around with demo applications that incorporate the Splade Cocondenser Ensembledistil model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.

Overview

Summary of this model and related resources.

PropertyValue
Creatornaver
Model NameSplade Cocondenser Ensembledistil
Description

SPLADE CoCondenser EnsembleDistil SPLADE model for passage ...

Read more ยป
Tagsfill-mask
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

Popularity

How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?

PropertyValue
Runs461,320
Model Rank
Creator Rank

Cost

How much does it cost to run this model? How long, on average, does it take to complete a run?

PropertyValue
Cost per Run$-
Prediction Hardware-
Average Completion Time-