# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("imamassi/fine-tuning-learning")
model = AutoModelForSequenceClassification.from_pretrained("imamassi/fine-tuning-learning")Quick Links
Label 0: World
Label 1: Sports
Label 2: Business
Label 3: Sci/Tech
Epoch Training Loss Validation Loss 0 No log 0.199586
Fine tuned using bert-base-uncased model and ag_news dataset
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="imamassi/fine-tuning-learning")