marlon89:

Could it be enough to take an existing BERT model and fine-tune it with AutoModelForSequenceClassification on my specific task?


Yes. You can use “bert-base-uncased” for example.



 marlon89:


Are the 1100 labelled reviews (around 150 per each class) enough to train that?



Yes, that’s the power of transfer learning: we only need a few (like a hundred) examples per class.



 marlon89:

What are other approaches?


Actually, that’s the most typical approach: fine-tune an xxxForSequenceClassification model using a pre-trained base. You can check out the official tutorial here: notebooks/text_classification.ipynb at master · huggingface/notebooks · GitHub 5