Instructions to use peter-nagy/deep-grader-codebert-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peter-nagy/deep-grader-codebert-python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="peter-nagy/deep-grader-codebert-python")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("peter-nagy/deep-grader-codebert-python") model = AutoModelForSequenceClassification.from_pretrained("peter-nagy/deep-grader-codebert-python") - Notebooks
- Google Colab
- Kaggle
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Deep Grader and Deep Siamese Grader are models leveraging large pre-trained models (CodeBERT, UniXcoder) fine-tuned on the task of Automatic Program Grading with Python and C++ programming languages.
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For more information, see: [https://github.com/peter-nagy1/Deep-Grader](https://github.com/peter-nagy1/Deep-Grader)
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