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distilroberta-base fine-tuned on banking77 dataset for intent classification

Test set accuray: 0.896

How to use

from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline

ckpt = 'mrm8488/distilroberta-finetuned-banking77'
tokenizer = AutoTokenizer.from_pretrained(ckpt)
model = AutoModelForSequenceClassification.from_pretrained(ckpt)

classifier = pipeline('text-classification', tokenizer=tokenizer, model=model)
classifier('What is the base of the exchange rates?')
# Output: [{'label': 'exchange_rate', 'score': 0.8509947657585144}]

Created by Manuel Romero/@mrm8488 | LinkedIn Made with in Spain

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Text Classification
This model can be loaded on the Inference API on-demand.

Dataset used to train mrm8488/distilroberta-finetuned-banking77