How to use nteku1/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nteku1/test")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nteku1/test") model = AutoModelForSequenceClassification.from_pretrained("nteku1/test", device_map="auto")
