How to use xlnet in hugging Face?

🤗Transformers
1

from simpletransformers.classification import ClassificationModel, ClassificationArgs
model = ClassificationModel(‘xlm’, ‘seyonec/PubChem10M_SMILES_BPE_396_250’, args={‘evaluate_each_epoch’: True, ‘evaluate_during_training_verbose’: True, ‘no_save’: True, ‘num_train_epochs’: 10, ‘auto_weights’: True}) # You can set class weights by using the optional weight argument

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2

Your question is about simpletransformers which is not a :hugs: library. You should ask it on their GitHub