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Open Source Model Profile · joeddav

xlm-roberta-large-xnli

xlm-roberta-large-xnli is a 561M-parameter multilingual zero-shot-classification model from joeddav. According to the model card, it fine-tunes xlm-roberta-large on 15-language NLI data under MIT terms.

Publisher
joeddav
Task
zero-shot-classification
Model type
xlm-roberta
License
mit
Library
transformers
Publication status
Approved for indexing

Model overview

xlm-roberta-large-xnli is published by joeddav as a zero-shot-classification model. The captured configuration identifies XLMRobertaForSequenceClassification with model type xlm-roberta, and Safetensors metadata reports 560,943,621 parameters. According to the model card, it fine-tunes xlm-roberta-large on NLI data in 15 languages and is intended for zero-shot text classification, especially beyond English. The recorded license is mit.

Recorded capabilities

15-language XNLI tuning

According to the model card, the model fine-tunes xlm-roberta-large on a combination of NLI data in 15 languages for zero-shot classification.

Non-English classification focus

According to the model card, it is intended especially for classification in languages other than English, with effectiveness beyond the listed languages also reported.

Zero-shot pipeline

According to the model card, it works with the Hugging Face ZeroShotClassificationPipeline, including labels in one language and sequences in another.

MNLI plus XNLI procedure

According to the model card, it fine-tuned on concatenated MNLI and XNLI splits, then trained one more epoch on shuffled cross-lingual premise-hypothesis pairs.

Use cases in the source record

  • Multilingual zero-shot text classification through the documented zero-shot-classification pipeline, including non-English sequences.
  • Cross-lingual labeling workflows where candidate labels and the classified sequence are written in different supported languages.

Limitations and unknowns

  • No evaluation results were extracted from this record.
  • No context-window value was extracted from this record.
  • Provider state is historical snapshot data and should be refreshed before being presented as current.

Source and provenance

Source: joeddav/xlm-roberta-large-xnli

Captured: Unknown. Processed: 2026-09-07T19:34:48.695085+00:00.

xlm-roberta-large-xnli Model Description This model takes xlm-roberta-large and fine-tunes it on a combination of NLI data in 15 languages. It is intended to be used for zero-shot text classification, such as with the Hugging Face ZeroShotClassificationPipeline . Intended Usage This model is intended to be used for zero-shot text classification, especially in languages other than English. It is fine-tuned on XNLI, which is a multilingual NLI dataset. The model can therefore be used with any of the languages in the XNLI corpus: English French Spanish German Greek Bulgarian Russian Turkish Arabic Vietnamese Thai Chinese Hindi Swahili…

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