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