MASE98

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finetune_right_padding_XLNet_base_cased

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# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="MASE98/finetune_right_padding_XLNet_base_cased")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("MASE98/finetune_right_padding_XLNet_base_cased")
model = AutoModelForSequenceClassification.from_pretrained("MASE98/finetune_right_padding_XLNet_base_cased", device_map="auto")