Instructions to use aieng-lab/codebert-base_question-quality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/codebert-base_question-quality with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/codebert-base_question-quality")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codebert-base_question-quality") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/codebert-base_question-quality") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd3d9df0f99862ca60b2dc1aa69d09a2b5207562746e1daac0441a8625ff6fc9
- Size of remote file:
- 249 MB
- SHA256:
- f5d96b5f12dea09f8d48640bd4eb0bd31683d5eda76b7d96be11b7af344eba2f
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