How to use DunnBC22/fnet-base-Financial_Sentiment_Analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DunnBC22/fnet-base-Financial_Sentiment_Analysis")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DunnBC22/fnet-base-Financial_Sentiment_Analysis") model = AutoModelForSequenceClassification.from_pretrained("DunnBC22/fnet-base-Financial_Sentiment_Analysis")