Uses of Package
de.uni_mannheim.informatik.dws.melt.matching_ml.python.nlptransformers
Package
Description
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ClassDescriptionThis filter asks a LLM which entity of the source fits best to an entity of the target.This matcher uses the Sentence Transformers library to build an embedding space for each resource given a textual representation of it.This matcher uses the Sentence Transformers library to build an embedding space for each resource given a textual representation of it.This is a base class for all Transformers.This is a base class for all Transformers fine tuners.This filter extracts the corresponding text for a resource (with the specified and customizable extractor) given all correspondences in the input alignment.This class is used to fine-tune a transformer model based on a generated dataset.
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ClassDescriptionAn enum which describes entities on how to optimize the batch size.This filter asks a LLM which entity of the source fits best to an entity of the target.Enum which lists all possible types of loss for training sentence transformers.This class represents the arguments for the transformers library.This is a base class for all Transformers.This is a base class for all Transformers fine tuners.This class is used to fine-tune a transformer model based on a generated dataset.This class represents the search space for hyper parameters.The transformers library may not free all memory from GPU.The enum which represents the possible measure for evaluating a model during hyperparameter search.
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ClassDescriptionThis is a base class for all Transformers.This is a base class for all Transformers fine tuners.This filter extracts the corresponding text for a resource (with the specified and customizable extractor) given all correspondences in the input alignment.This class is used to fine-tune a transformer model based on a generated dataset.