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license: mit
language:
  - cs
  - de
  - en
  - hu
  - pl
metrics:
  - f1
  - precision
  - recall
  - accuracy
library_name: transformers
pipeline_tag: text-classification
tags:
  - multilabel
  - history
  - holocaust
  - heritage
base_model:
  - sentence-transformers/LaBSE

LaBSE-Malach-Multilabel

A multilabel text classification model fine-tuned on a the Visual History Archive in 6 languages. Input text segments consisted of ~350 words on average.

Given an input string, the model predicts probablites for 2800 subject keyword IDs from the VHA ontology.