You can load and fine-tune a pre-trained language model using Hugging Face Transformers by referring to the code snippet:
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In the above code we are using Model & Tokenizer which uses AutoModelForSequenceClassification and AutoTokenizer for flexibility, Dataset which uses the datasets library to load and preprocess data and Trainer which simplifies fine-tuning with training arguments like batch size and learning rate.
Hence, this approach is effective for tasks like text classification or sentiment analysis.
Related Post: Fine-tuning a Transformer model