How to use edangx100/distilbert-base-uncased-finetuned-emotion_binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="edangx100/distilbert-base-uncased-finetuned-emotion_binary")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("edangx100/distilbert-base-uncased-finetuned-emotion_binary") model = AutoModelForSequenceClassification.from_pretrained("edangx100/distilbert-base-uncased-finetuned-emotion_binary", device_map="auto")
