How can I fine-tune a pre-trained model for my specific task?
Fine-tuning a pre-trained model involves adjusting its weights on a new dataset related to your specific task. What model are you using?
I'm using BERT for a text classification task.
Great choice! You can start by loading the pre-trained BERT model and then train it on your labeled dataset. Do you have a dataset ready?
Yes, I have a dataset with labeled examples. What framework should I use?
You can use frameworks like Hugging Face's Transformers or TensorFlow. They provide excellent support for fine-tuning BERT.
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