How to use cartesinus/xlm-r-base-amazon-massive-intent-label_smoothing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cartesinus/xlm-r-base-amazon-massive-intent-label_smoothing")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cartesinus/xlm-r-base-amazon-massive-intent-label_smoothing") model = AutoModelForSequenceClassification.from_pretrained("cartesinus/xlm-r-base-amazon-massive-intent-label_smoothing")
What is a pickle import?
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