How to use sgraf202/finetuning-sentiment-model-3000-samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sgraf202/finetuning-sentiment-model-3000-samples")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sgraf202/finetuning-sentiment-model-3000-samples") model = AutoModelForSequenceClassification.from_pretrained("sgraf202/finetuning-sentiment-model-3000-samples", device_map="auto")
