Instructions to use aieng-lab/codebert-base_review-aspect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/codebert-base_review-aspect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/codebert-base_review-aspect")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codebert-base_review-aspect") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/codebert-base_review-aspect") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 600f33d26abef5865d4439cf91a58bc734f371f90823139d2e7fdd045f57a92d
- Size of remote file:
- 249 MB
- SHA256:
- f702b7f5605b9162fff3af7986e782682b3d28f36a5ed1fba1673f7217d8815b
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