Thesis-Emerging-Risks
Collection
3 items • Updated
How to use felanders/ZeDiAc-Unexpected with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="felanders/ZeDiAc-Unexpected") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("felanders/ZeDiAc-Unexpected")
model = AutoModelForSequenceClassification.from_pretrained("felanders/ZeDiAc-Unexpected", device_map="auto")