# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("grenlayk/electra-large-cola-extended")
model = AutoModelForSequenceClassification.from_pretrained("grenlayk/electra-large-cola-extended", device_map="auto")Quick Links
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Check out the documentation for more information.
The ELECTRA-large model, fine-tuned on the extended version of CoLA subset (class balanced CoLA-E) of the GLUE benchmark.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="grenlayk/electra-large-cola-extended")