joeddav/xlm-roberta-large-xnli

Zero Shot Classification·joeddav· 324.9K· 291

transformers mit Zero Shot Classification 560.9M params

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.

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# pull & run locally
pip install mlforge-sdk && mlforge pull joeddav/xlm-roberta-large-xnli

Model details

Task

Zero Shot Classification

Provider

joeddav

Framework

transformers

Parameters

560.9M

Size

6.3 GB

License

mit

Downloads

324.9K

Likes

291

Paper

arXiv:1911.02116

Updated

2024-10-16

About joeddav/xlm-roberta-large-xnli

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