# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("dima806/sarcasm-detection-distilbert")
model = AutoModelForSequenceClassification.from_pretrained("dima806/sarcasm-detection-distilbert", device_map="auto")Quick Links
See https://www.kaggle.com/code/dima806/sarcasm-detection-distilbert for more details.
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google-bert/bert-base-uncased
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dima806/sarcasm-detection-distilbert")