Model: AyoubChLin/XLMRoberta-large-bbc_news
Author: AyoubChLin
Pipeline: text-classification
Library: transformers
Tags: transformers, pytorch, safetensors, xlm-roberta, text-classification, autotrain, en, dataset:AyoubChLin/autotrain-data-anymodel_bbc, dataset:SetFit/bbc-news, license:apache-2.0, co2_eq_emissions, endpoints_compatible, region:us
Card metadata: tags: autotrain, text-classification
language: en
widget: A new model offers an explanation for how the Galilean satellites formed around the solar system’s largest world. Konstantin Batygin did not set out to solve one of the solar system’s most puzzling mysteries when he went for a run up a hill in Nice, France. Dr. Batygin, a Caltech researcher
datasets: AyoubChLin/autotrain-data-anymodel_bbc, SetFit/bbc-news
co2_eq_emissions: emissions: 2.359134715120443
license: apache-2.0
metrics: accuracy
pipeline_tag: text-classification
Likes: 0 | All-time downloads: 420
Created: 2023-04-12 16:32:48