How to use udit-k/HamSpamBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="udit-k/HamSpamBERT")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("udit-k/HamSpamBERT") model = AutoModelForSequenceClassification.from_pretrained("udit-k/HamSpamBERT", device_map="auto")
