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