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