3. Training the classifier
As mentioned earlier, the most effective way to train a classifier in NLP is to perform supervised fine-tuning of a pretrained encoder for the downstream task using domain-specific data.The tokenized text is fed to a pre-trained encoder that returns an array of token embeddings.
As mentioned earlier, the most effective way to train a classifier in NLP is to perform supervised fine-tuning of a pretrained encoder for the downstream task using domain-specific data.The tokenized text is fed to a pre-trained encoder that returns an array of token embeddings.
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