How to use isom5240/customModelv1c with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="isom5240/customModelv1c")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("isom5240/customModelv1c") model = AutoModelForSequenceClassification.from_pretrained("isom5240/customModelv1c", device_map="auto")
