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labse-malach-multilabel

Text Classification

text-embeddings-inference

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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.