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MiniLM Evidence Types

marieke93

๐Ÿงช

MiniLM-evidence-types is a text classification model that can identify different types of evidence in text. It is trained on a large dataset and can accurately classify sentences into various evidence types such as empirical, anecdotal, or theoretical. This model can be useful in tasks where identifying the type of evidence in text is important, such as literature review or data analysis.

Use cases

MiniLM-evidence-types has a variety of potential use cases in text classification tasks. Researchers in the field of natural language processing can utilize this model to automatically classify different types of evidence in scientific papers or academic articles. It can aid in literature reviews by identifying and categorizing empirical, anecdotal, or theoretical evidence. Data analysts can incorporate this model into their pipelines to classify statements in datasets and distinguish between different types of evidence. Additionally, this model can be applied in automated fact-checking systems to assess the credibility of claims based on the type of evidence provided. With its accurate and efficient classification capabilities, MiniLM-evidence-types can enhance the accuracy and efficiency of various text analysis applications.

text-classification

Pricing

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Creator Models

ModelCostRuns
BERT Evidence Types$?14

Similar Models

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

Currently, there are no demos available for this model.

Overview

Summary of this model and related resources.

PropertyValue
Creatormarieke93
Model NameMiniLM Evidence Types
Description
Platform did not provide a description for this model.
Tagstext-classification
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

Popularity

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PropertyValue
Runs3,938,908
Model Rank
Creator Rank

Cost

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