
label = ['business', 'entertainment', 'politics', 'sport', 'tech']
{"language": ["en"], "license": "apache-2.0", "library_name": "flair", "datasets": ["SetFit/bbc-news"], "metrics": ["accuracy"], "pipeline_tag": "text-classification", "widget": [{"text": "money in the pocket"}, {"text": "no one can win this cup in quatar.."}, {"text": "new transformers architicture can build a large language model with low ressources"}]}
flair pytorch text-classification en dataset:SetFit/bbc-news license:apache-2.0 region:us
TAGS
#flair #pytorch #text-classification #en #dataset-SetFit/bbc-news #license-apache-2.0 #region-us 


label = ['business', 'entertainment', 'politics', 'sport', 'tech']
TAGS
#flair #pytorch #text-classification #en #dataset-SetFit/bbc-news #license-apache-2.0 #region-us 

TAGS
#flair #pytorch #text-classification #en #dataset-SetFit/bbc-news #license-apache-2.0 #region-us 
