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