# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("avinasht/finetuned")
model = AutoModelForSequenceClassification.from_pretrained("avinasht/finetuned")Quick Links
task='sentiment' _pretrained_model = f"cardiffnlp/twitter-roberta-base-{task}" finetuned on trainset of -->TweetFinSent: A Dataset of Stock Sentiments on Twitter
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="avinasht/finetuned")