How to use cungnlp/FineTuningBERTbaseClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cungnlp/FineTuningBERTbaseClassification")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cungnlp/FineTuningBERTbaseClassification") model = AutoModelForSequenceClassification.from_pretrained("cungnlp/FineTuningBERTbaseClassification")
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Fine Tuning BERT-base for Classification labels_meaning : 0_Positive, 1_Negative, 2_Neutral, 3_Extremely Positive, 4_Extremely Negative.
