How to use NTCAL/SavedAfterTrainingTestIdun68 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NTCAL/SavedAfterTrainingTestIdun68")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NTCAL/SavedAfterTrainingTestIdun68") model = AutoModelForSequenceClassification.from_pretrained("NTCAL/SavedAfterTrainingTestIdun68", device_map="auto")
