How to use EslamAhmed/customer_data_tuned_trial_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EslamAhmed/customer_data_tuned_trial_1")
# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EslamAhmed/customer_data_tuned_trial_1") model = AutoModelForMaskedLM.from_pretrained("EslamAhmed/customer_data_tuned_trial_1")
