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