You can load and fine-tune a pre-trained language model using Hugging Face Transformers by referring to the code snippet:
![](https://www.edureka.co/community/?qa=blob&qa_blobid=15168201011658140431)
![](https://www.edureka.co/community/?qa=blob&qa_blobid=10153542465657677350)
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.