# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("bvk/ENRON-bert-base-cased")
model = AutoModelForSequenceClassification.from_pretrained("bvk/ENRON-bert-base-cased")Quick Links
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Check out the documentation for more information.
Trained on the dataset ENRON-spam, train/test split 80/20, seed 42
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bvk/ENRON-bert-base-cased")